diff --git a/README.md b/README.md
index 36ea5a20f..6d995e8c2 100644
--- a/README.md
+++ b/README.md
@@ -13,8 +13,9 @@
 <img alt="Github License" src="https://img.shields.io/github/license/logspace-ai/langflow" />
 </p>
 
+
 <p>
-<a href="https://discord.gg/FUhJnnJ9"><img alt="Discord Server" src="https://dcbadge.vercel.app/api/server/FUhJnnJ9?compact=true&style=flat"/></a>
+<a href="https://discord.gg/EqksyE2EX9"><img alt="Discord Server" src="https://dcbadge.vercel.app/api/server/EqksyE2EX9?compact=true&style=flat"/></a>
 <a href="https://huggingface.co/spaces/Logspace/LangFlow"><img src="https://huggingface.co/datasets/huggingface/badges/raw/main/open-in-hf-spaces-sm.svg" alt="HuggingFace Spaces"></a>
 </p>
 
diff --git a/poetry.lock b/poetry.lock
index ef3ad4285..b13392910 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -296,14 +296,14 @@ tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pyte
 
 [[package]]
 name = "authlib"
-version = "1.2.0"
+version = "1.2.1"
 description = "The ultimate Python library in building OAuth and OpenID Connect servers and clients."
 category = "main"
 optional = false
 python-versions = "*"
 files = [
-    {file = "Authlib-1.2.0-py2.py3-none-any.whl", hash = "sha256:4ddf4fd6cfa75c9a460b361d4bd9dac71ffda0be879dbe4292a02e92349ad55a"},
-    {file = "Authlib-1.2.0.tar.gz", hash = "sha256:4fa3e80883a5915ef9f5bc28630564bc4ed5b5af39812a3ff130ec76bd631e9d"},
+    {file = "Authlib-1.2.1-py2.py3-none-any.whl", hash = "sha256:c88984ea00149a90e3537c964327da930779afa4564e354edfd98410bea01911"},
+    {file = "Authlib-1.2.1.tar.gz", hash = "sha256:421f7c6b468d907ca2d9afede256f068f87e34d23dd221c07d13d4c234726afb"},
 ]
 
 [package.dependencies]
@@ -1102,13 +1102,13 @@ wmi = ["wmi (>=1.5.1,<2.0.0)"]
 
 [[package]]
 name = "docarray"
-version = "0.21.0"
+version = "0.21.1"
 description = "The data structure for unstructured data"
 category = "main"
 optional = false
 python-versions = "*"
 files = [
-    {file = "docarray-0.21.0.tar.gz", hash = "sha256:3c9f605123800c1b0cdf8c458be3fb19c05e9a81f723e51200ef531b02e689ee"},
+    {file = "docarray-0.21.1.tar.gz", hash = "sha256:3a478707465c263147a98fe32feb0b6eb215c0ed58852135ac86acb7eae5cecb"},
 ]
 
 [package.dependencies]
@@ -2580,14 +2580,14 @@ test = ["ipykernel", "pre-commit", "pytest", "pytest-cov", "pytest-timeout"]
 
 [[package]]
 name = "keyring"
-version = "24.1.0"
+version = "24.2.0"
 description = "Store and access your passwords safely."
 category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "keyring-24.1.0-py3-none-any.whl", hash = "sha256:ade5e1e7710a7579d7c01e64a712926270239aba48055b1cdc6c022dd6d789b5"},
-    {file = "keyring-24.1.0.tar.gz", hash = "sha256:bd48a36612ef55505bf70e563528e3e66ba93267e344b6780cf6151f9c1eda6d"},
+    {file = "keyring-24.2.0-py3-none-any.whl", hash = "sha256:4901caaf597bfd3bbd78c9a0c7c4c29fcd8310dab2cffefe749e916b6527acd6"},
+    {file = "keyring-24.2.0.tar.gz", hash = "sha256:ca0746a19ec421219f4d713f848fa297a661a8a8c1504867e55bfb5e09091509"},
 ]
 
 [package.dependencies]
@@ -2604,14 +2604,14 @@ testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)",
 
 [[package]]
 name = "langchain"
-version = "0.0.211"
+version = "0.0.215"
 description = "Building applications with LLMs through composability"
 category = "main"
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
-    {file = "langchain-0.0.211-py3-none-any.whl", hash = "sha256:527b602466d68e5c4e82c550cb6e218d7fe0e1b3d37f97beddc13785a75dbf96"},
-    {file = "langchain-0.0.211.tar.gz", hash = "sha256:35b43d4492ef3de67b6ea0168f12a489029cae0f5c4031d5c907764168b177cb"},
+    {file = "langchain-0.0.215-py3-none-any.whl", hash = "sha256:af9587c2eb317a6e33123f8a4ee8ccd8685cfab62359ea4fec52c962d9646acf"},
+    {file = "langchain-0.0.215.tar.gz", hash = "sha256:a6b261f3be941eeac2d9b37fbf8996fa4279ef724f064e8c90813046126da85b"},
 ]
 
 [package.dependencies]
@@ -3199,44 +3199,44 @@ dill = ">=0.3.6"
 
 [[package]]
 name = "mypy"
-version = "1.4.0"
+version = "1.4.1"
 description = "Optional static typing for Python"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
 mypy-extensions = ">=1.0.0"
 tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
-typing-extensions = ">=3.10"
+typing-extensions = ">=4.1.0"
 
 [package.extras]
 dmypy = ["psutil (>=4.0)"]
@@ -5129,14 +5129,14 @@ cffi = {version = "*", markers = "implementation_name == \"pypy\""}
 
 [[package]]
 name = "qdrant-client"
-version = "1.3.0"
+version = "1.3.1"
 description = "Client library for the Qdrant vector search engine"
 category = "main"
 optional = false
 python-versions = ">=3.7,<3.12"
 files = [
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+    {file = "qdrant_client-1.3.1.tar.gz", hash = "sha256:a999358b10e611d71b4b04c6ded36a6cfc963e56b4c3f99d9c1a603ca524a82e"},
 ]
 
 [package.dependencies]
@@ -5445,41 +5445,39 @@ tests = ["black (>=22.3.0)", "flake8 (>=3.8.2)", "matplotlib (>=3.1.3)", "mypy (
 
 [[package]]
 name = "scipy"
-version = "1.10.1"
+version = "1.11.0"
 description = "Fundamental algorithms for scientific computing in Python"
 category = "main"
 optional = false
-python-versions = "<3.12,>=3.8"
+python-versions = "<3.13,>=3.9"
 files = [
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-    {file = "scipy-1.10.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:07c3457ce0b3ad5124f98a86533106b643dd811dd61b548e78cf4c8786652f6f"},
-    {file = "scipy-1.10.1-cp38-cp38-win_amd64.whl", hash = "sha256:049a8bbf0ad95277ffba9b3b7d23e5369cc39e66406d60422c8cfef40ccc8415"},
-    {file = "scipy-1.10.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:cd9f1027ff30d90618914a64ca9b1a77a431159df0e2a195d8a9e8a04c78abf9"},
-    {file = "scipy-1.10.1-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:79c8e5a6c6ffaf3a2262ef1be1e108a035cf4f05c14df56057b64acc5bebffb6"},
-    {file = "scipy-1.10.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:51af417a000d2dbe1ec6c372dfe688e041a7084da4fdd350aeb139bd3fb55353"},
-    {file = "scipy-1.10.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1b4735d6c28aad3cdcf52117e0e91d6b39acd4272f3f5cd9907c24ee931ad601"},
-    {file = "scipy-1.10.1-cp39-cp39-win_amd64.whl", hash = "sha256:7ff7f37b1bf4417baca958d254e8e2875d0cc23aaadbe65b3d5b3077b0eb23ea"},
-    {file = "scipy-1.10.1.tar.gz", hash = "sha256:2cf9dfb80a7b4589ba4c40ce7588986d6d5cebc5457cad2c2880f6bc2d42f3a5"},
+    {file = "scipy-1.11.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2e4f14c11fbf825319dbd7f467639a241e7c956c34edb1e036ec7bb6271e4f7b"},
+    {file = "scipy-1.11.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:b269ed44e2e2e43611f2ae95ba551fd98abbdc1a7ea8268f72f75876982368c4"},
+    {file = "scipy-1.11.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2c29bae479b17d85208dfdfc67e50d5944ee23211f236728aadde9b0b7c1c33e"},
+    {file = "scipy-1.11.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a53f9cebcfda6158c241c35a559407a4ef6b8cb0863eb4144958fe0a0b7c3dae"},
+    {file = "scipy-1.11.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:ebf4b2ea26d50312731ddba2406389c5ddcbff9d777cf3277ea11decc81e5dfb"},
+    {file = "scipy-1.11.0-cp310-cp310-win_amd64.whl", hash = "sha256:894ced9a2cdb050ff5e392f274617af46dca896d5c9112fa4a2019929554d321"},
+    {file = "scipy-1.11.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:7a92bd3cd4acad2e0e0b360176d5ec68b100983c8145add8a8233acddf4e5fcc"},
+    {file = "scipy-1.11.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:586608ea35206257d4e0ce6f154a6cfef71723b2c1f6d40de5e0b0e8a81cd2ff"},
+    {file = "scipy-1.11.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d8e631c3c49c24f30828580b8126fe3be5cca5409dad5b797418a5b8965eeafa"},
+    {file = "scipy-1.11.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ccc70892ea674f93183c5c4139557b611e42f644dd755da4b19ca974ab770672"},
+    {file = "scipy-1.11.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:80015b8928f91bd40377b2b1010ba2e09b03680cbfc291208740494aeb8debf2"},
+    {file = "scipy-1.11.0-cp311-cp311-win_amd64.whl", hash = "sha256:6302c7cba5bf99c901653ff158746625526cc438f058bce41514d7469b79b2c3"},
+    {file = "scipy-1.11.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:c61ea63124da6a3cff38126426912cc86420898b4902a9bc5e5b6524547a6dcb"},
+    {file = "scipy-1.11.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:684d44607eacd5dd367c7a9e76e922523fa9c0a7f2379a4d0fc4d70d751464cc"},
+    {file = "scipy-1.11.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f0c9c160d117fe71cd2a12ef21cce8e0475ade2fd97c761ef327b9839089bd16"},
+    {file = "scipy-1.11.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:83867a63515c4e3fce3272d81200dda614d70f4c3a22f047d84021bfe83d7929"},
+    {file = "scipy-1.11.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:6666a1e31b2123a077f0dc7ab1053e36479cfd457fb9f5c367e7198505c6607a"},
+    {file = "scipy-1.11.0-cp39-cp39-win_amd64.whl", hash = "sha256:fad4006248513528e0c496de295a9f4d2b65086cc0e388f748e7dbf49fa12760"},
+    {file = "scipy-1.11.0.tar.gz", hash = "sha256:f9b0248cb9d08eead44cde47cbf6339f1e9aa0dfde28f5fb27950743e317bd5d"},
 ]
 
 [package.dependencies]
-numpy = ">=1.19.5,<1.27.0"
+numpy = ">=1.21.6,<1.28.0"
 
 [package.extras]
-dev = ["click", "doit (>=0.36.0)", "flake8", "mypy", "pycodestyle", "pydevtool", "rich-click", "typing_extensions"]
-doc = ["matplotlib (>2)", "numpydoc", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"]
+dev = ["click", "cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy", "pycodestyle", "pydevtool", "rich-click", "ruff", "types-psutil", "typing_extensions"]
+doc = ["jupytext", "matplotlib (>2)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"]
 test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
 
 [[package]]
@@ -7117,4 +7115,4 @@ deploy = ["langchain-serve"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<3.12"
-content-hash = "e7b18762564269aaf9c6b046fa151f5e3acf85444f38653503341f658155e70a"
+content-hash = "2f8373e1c80ce345f39ed9247fd4759ae94b5c754c4e850d3aa72183556eb92b"
diff --git a/pyproject.toml b/pyproject.toml
index 97aa064fe..da75b0207 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langflow"
-version = "0.1.7"
+version = "0.2.2"
 description = "A Python package with a built-in web application"
 authors = ["Logspace <contact@logspace.ai>"]
 maintainers = [
@@ -30,7 +30,7 @@ google-search-results = "^2.4.1"
 google-api-python-client = "^2.79.0"
 typer = "^0.9.0"
 gunicorn = "^20.1.0"
-langchain = "^0.0.211"
+langchain = "^0.0.215"
 openai = "^0.27.8"
 types-pyyaml = "^6.0.12.8"
 pandas = "^1.5.3"
@@ -72,7 +72,7 @@ pymongo = "^4.4.0"
 certifi = "^2023.5.7"
 
 
-[tool.poetry.group.dev.dependencies]
+[tool.poetry.dev-dependencies]
 black = "^23.1.0"
 ipykernel = "^6.21.2"
 mypy = "^1.1.1"
diff --git a/src/backend/langflow/__main__.py b/src/backend/langflow/__main__.py
index 29f60ed23..9980a5d2f 100644
--- a/src/backend/langflow/__main__.py
+++ b/src/backend/langflow/__main__.py
@@ -1,6 +1,5 @@
 import sys
 import time
-from fastapi import FastAPI
 import httpx
 from multiprocess import Process, cpu_count  # type: ignore
 import platform
@@ -11,9 +10,7 @@ from rich.panel import Panel
 from rich import box
 from rich import print as rprint
 import typer
-from fastapi.staticfiles import StaticFiles
-from fastapi.responses import FileResponse
-from langflow.main import create_app
+from langflow.main import setup_app
 from langflow.settings import settings
 from langflow.utils.logger import configure, logger
 import webbrowser
@@ -30,6 +27,7 @@ def get_number_of_workers(workers=None):
 
 def update_settings(
     config: str,
+    cache: str,
     dev: bool = False,
     database_url: Optional[str] = None,
     remove_api_keys: bool = False,
@@ -41,6 +39,8 @@ def update_settings(
         settings.update_settings(database_url=database_url)
     if remove_api_keys:
         settings.update_settings(remove_api_keys=remove_api_keys)
+    if cache:
+        settings.update_settings(cache=cache)
 
 
 def serve_on_jcloud():
@@ -102,6 +102,11 @@ def serve(
     ),
     log_level: str = typer.Option("critical", help="Logging level."),
     log_file: Path = typer.Option("logs/langflow.log", help="Path to the log file."),
+    cache: str = typer.Argument(
+        envvar="LANGCHAIN_CACHE",
+        help="Type of cache to use. (InMemoryCache, SQLiteCache)",
+        default="SQLiteCache",
+    ),
     jcloud: bool = typer.Option(False, help="Deploy on Jina AI Cloud"),
     dev: bool = typer.Option(False, help="Run in development mode (may contain bugs)"),
     database_url: str = typer.Option(
@@ -130,17 +135,15 @@ def serve(
 
     configure(log_level=log_level, log_file=log_file)
     update_settings(
-        config, dev=dev, database_url=database_url, remove_api_keys=remove_api_keys
+        config,
+        dev=dev,
+        database_url=database_url,
+        remove_api_keys=remove_api_keys,
+        cache=cache,
     )
-    # get the directory of the current file
-    if not path:
-        frontend_path = Path(__file__).parent
-        static_files_dir = frontend_path / "frontend"
-    else:
-        static_files_dir = Path(path)
-
-    app = create_app()
-    setup_static_files(app, static_files_dir)
+    # create path object if path is provided
+    static_files_dir: Optional[Path] = Path(path) if path else None
+    app = setup_app(static_files_dir=static_files_dir)
     # check if port is being used
     if is_port_in_use(port, host):
         port = get_free_port(port)
@@ -188,29 +191,6 @@ def run_on_windows(host, port, log_level, options, app):
     run_langflow(host, port, log_level, options, app)
 
 
-def setup_static_files(app: FastAPI, static_files_dir: Path):
-    """
-    Setup the static files directory.
-
-    Args:
-        app (FastAPI): FastAPI app.
-        path (str): Path to the static files directory.
-    """
-    app.mount(
-        "/",
-        StaticFiles(directory=static_files_dir, html=True),
-        name="static",
-    )
-
-    @app.exception_handler(404)
-    async def custom_404_handler(request, __):
-        path = static_files_dir / "index.html"
-
-        if not path.exists():
-            raise RuntimeError(f"File at path {path} does not exist.")
-        return FileResponse(path)
-
-
 def is_port_in_use(port, host="localhost"):
     """
     Check if a port is in use.
diff --git a/src/backend/langflow/chat/config.py b/src/backend/langflow/chat/config.py
new file mode 100644
index 000000000..274f4d5bd
--- /dev/null
+++ b/src/backend/langflow/chat/config.py
@@ -0,0 +1,2 @@
+class ChatConfig:
+    streaming: bool = True
diff --git a/src/backend/langflow/chat/manager.py b/src/backend/langflow/chat/manager.py
index 4a1b8e77c..b693e00a3 100644
--- a/src/backend/langflow/chat/manager.py
+++ b/src/backend/langflow/chat/manager.py
@@ -209,3 +209,5 @@ class ChatManager:
             except Exception as e:
                 logger.error(e)
             self.disconnect(client_id)
+
+
diff --git a/src/backend/langflow/config.yaml b/src/backend/langflow/config.yaml
index d8cd4a325..518ff7029 100644
--- a/src/backend/langflow/config.yaml
+++ b/src/backend/langflow/config.yaml
@@ -1,141 +1,247 @@
----
 agents:
-  - ZeroShotAgent
-  - JsonAgent
-  - CSVAgent
-  - AgentInitializer
-  - VectorStoreAgent
-  - VectorStoreRouterAgent
-  - SQLAgent
+  ZeroShotAgent:
+    documentation: "https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent"
+  JsonAgent:
+    documentation: "https://python.langchain.com/docs/modules/agents/toolkits/openapi"
+  CSVAgent:
+    documentation: "https://python.langchain.com/docs/modules/agents/toolkits/csv"
+  AgentInitializer:
+    documentation: "https://python.langchain.com/docs/modules/agents/agent_types/"
+  VectorStoreAgent:
+    documentation: ""
+  VectorStoreRouterAgent:
+    documentation: ""
+  SQLAgent:
+    documentation: ""
 chains:
-  - LLMChain
-  - LLMMathChain
-  - LLMCheckerChain
-  - ConversationChain
-  - SeriesCharacterChain
-  - MidJourneyPromptChain
-  - TimeTravelGuideChain
-  - SQLDatabaseChain
-  - RetrievalQA
-  - RetrievalQAWithSourcesChain
-  - ConversationalRetrievalChain
-  - CombineDocsChain
+  LLMChain:
+    documentation: "https://python.langchain.com/docs/modules/chains/foundational/llm_chain"
+  LLMMathChain:
+    documentation: "https://python.langchain.com/docs/modules/chains/additional/llm_math"
+  LLMCheckerChain:
+    documentation: "https://python.langchain.com/docs/modules/chains/additional/llm_checker"
+  ConversationChain:
+    documentation: ""
+  SeriesCharacterChain:
+    documentation: ""
+  MidJourneyPromptChain:
+    documentation: ""
+  TimeTravelGuideChain:
+    documentation: ""
+  SQLDatabaseChain:
+    documentation: ""
+  RetrievalQA:
+    documentation: "https://python.langchain.com/docs/modules/chains/popular/vector_db_qa"
+  RetrievalQAWithSourcesChain:
+    documentation: ""
+  ConversationalRetrievalChain:
+    documentation: "https://python.langchain.com/docs/modules/chains/popular/chat_vector_db"
+  CombineDocsChain:
+    documentation: ""
 documentloaders:
-  - AirbyteJSONLoader
-  - CoNLLULoader
-  - CSVLoader
-  - UnstructuredEmailLoader
-  - EverNoteLoader
-  - FacebookChatLoader
-  - GutenbergLoader
-  - BSHTMLLoader
-  - UnstructuredHTMLLoader
-  # - UnstructuredImageLoader # Issue with Python 3.11 (https://github.com/Unstructured-IO/unstructured-inference/issues/83)
-  - UnstructuredMarkdownLoader
-  - PyPDFLoader
-  - UnstructuredPowerPointLoader
-  - SRTLoader
-  - TelegramChatLoader
-  - TextLoader
-  - UnstructuredWordDocumentLoader
-  - WebBaseLoader
-  - AZLyricsLoader
-  - CollegeConfidentialLoader
-  - HNLoader
-  - IFixitLoader
-  - IMSDbLoader
-  - GitbookLoader
-  - ReadTheDocsLoader
-  - SlackDirectoryLoader
-  - NotionDirectoryLoader
-  - DirectoryLoader
-  - GitLoader
+  AirbyteJSONLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json"
+  CoNLLULoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/conll-u"
+  CSVLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv"
+  UnstructuredEmailLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/email"
+  EverNoteLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/evernote"
+  FacebookChatLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/facebook_chat"
+  GutenbergLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/gutenberg"
+  BSHTMLLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/html"
+  UnstructuredHTMLLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/html"
+  UnstructuredMarkdownLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/markdown"
+  PyPDFLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/pdf"
+  UnstructuredPowerPointLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/microsoft_powerpoint"
+  SRTLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/subtitle"
+  TelegramChatLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/telegram"
+  TextLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/"
+  UnstructuredWordDocumentLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/microsoft_word"
+  WebBaseLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/web_base"
+  AZLyricsLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/azlyrics"
+  CollegeConfidentialLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/college_confidential"
+  HNLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/hacker_news"
+  IFixitLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/ifixit"
+  IMSDbLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/imsdb"
+  GitbookLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/gitbook"
+  ReadTheDocsLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/readthedocs_documentation"
+  SlackDirectoryLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/slack"
+  NotionDirectoryLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/notion"
+  DirectoryLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/file_directory"
+  GitLoader:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/git"
 embeddings:
-  - OpenAIEmbeddings
-  - HuggingFaceEmbeddings
-  - CohereEmbeddings
+  OpenAIEmbeddings:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai"
+  HuggingFaceEmbeddings:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/sentence_transformers"
+  CohereEmbeddings:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/cohere"
 llms:
-  - OpenAI
-  # - AzureOpenAI
-  # - AzureChatOpenAI
-  - ChatOpenAI
-  - LlamaCpp
-  - CTransformers
-  - Cohere
-  - Anthropic
-  - ChatAnthropic
-  - HuggingFaceHub
+  OpenAI:
+    documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai"
+  ChatOpenAI:
+    documentation: "https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai"
+  LlamaCpp:
+    documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/llamacpp"
+  CTransformers:
+    documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/ctransformers"
+  Cohere:
+    documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/cohere"
+  Anthropic:
+    documentation: ""
+  ChatAnthropic:
+    documentation: "https://python.langchain.com/docs/modules/model_io/models/chat/integrations/anthropic"
+  HuggingFaceHub:
+    documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/huggingface_hub"
 memories:
-  - ConversationBufferMemory
-  - ConversationSummaryMemory
-  - ConversationKGMemory
+  ConversationBufferMemory:
+    documentation: "https://python.langchain.com/docs/modules/memory/how_to/summary"
+  ConversationSummaryMemory:
+    documentation: "https://python.langchain.com/docs/modules/memory/how_to/summary"
+  ConversationKGMemory:
+    documentation: "https://python.langchain.com/docs/modules/memory/how_to/kg"
+  ConversationBufferWindowMemory:
+    documentation: "https://python.langchain.com/docs/modules/memory/how_to/buffer_window"
+  VectorStoreRetrieverMemory:
+    documentation: "https://python.langchain.com/docs/modules/memory/how_to/vectorstore_retriever_memory"
 prompts:
-  - PromptTemplate
-  - FewShotPromptTemplate
-  - ZeroShotPrompt
+  PromptTemplate:
+    documentation: "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/"
+  ZeroShotPrompt:
+    documentation: "https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent"
 textsplitters:
-  - CharacterTextSplitter
-  - RecursiveCharacterTextSplitter
-  # - LatexTextSplitter
-  # - PythonCodeTextSplitter
+  CharacterTextSplitter:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/character_text_splitter"
+  RecursiveCharacterTextSplitter:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/recursive_text_splitter"
 toolkits:
-  - OpenAPIToolkit
-  - JsonToolkit
-  - VectorStoreInfo
-  - VectorStoreRouterToolkit
-  - VectorStoreToolkit
+  OpenAPIToolkit:
+    documentation: ""
+  JsonToolkit:
+    documentation: ""
+  VectorStoreInfo:
+    documentation: ""
+  VectorStoreRouterToolkit:
+    documentation: ""
+  VectorStoreToolkit:
+    documentation: ""
 tools:
-  - Search
-  - PAL-MATH
-  - Calculator
-  - Serper Search
-  - Tool
-  - PythonFunctionTool
-  - PythonFunction
-  - JsonSpec
-  - News API
-  - TMDB API
-  - Podcast API
-  - QuerySQLDataBaseTool
-  - InfoSQLDatabaseTool
-  - ListSQLDatabaseTool
-  # - QueryCheckerTool
-  - BingSearchRun
-  - GoogleSearchRun
-  - GoogleSearchResults
-  - GoogleSerperRun
-  - JsonListKeysTool
-  - JsonGetValueTool
-  - PythonREPLTool
-  - PythonAstREPLTool
-  - RequestsGetTool
-  - RequestsPostTool
-  - RequestsPatchTool
-  - RequestsPutTool
-  - RequestsDeleteTool
-  - WikipediaQueryRun
-  - WolframAlphaQueryRun
+  Search:
+    documentation: ""
+  PAL-MATH:
+    documentation: ""
+  Calculator:
+    documentation: ""
+  Serper Search:
+    documentation: ""
+  Tool:
+    documentation: ""
+  PythonFunctionTool:
+    documentation: ""
+  PythonFunction:
+    documentation: ""
+  JsonSpec:
+    documentation: ""
+  News API:
+    documentation: ""
+  TMDB API:
+    documentation: ""
+  Podcast API:
+    documentation: ""
+  QuerySQLDataBaseTool:
+    documentation: ""
+  InfoSQLDatabaseTool:
+    documentation: ""
+  ListSQLDatabaseTool:
+    documentation: ""
+  BingSearchRun:
+    documentation: ""
+  GoogleSearchRun:
+    documentation: ""
+  GoogleSearchResults:
+    documentation: ""
+  GoogleSerperRun:
+    documentation: ""
+  JsonListKeysTool:
+    documentation: ""
+  JsonGetValueTool:
+    documentation: ""
+  PythonREPLTool:
+    documentation: ""
+  PythonAstREPLTool:
+    documentation: ""
+  RequestsGetTool:
+    documentation: ""
+  RequestsPostTool:
+    documentation: ""
+  RequestsPatchTool:
+    documentation: ""
+  RequestsPutTool:
+    documentation: ""
+  RequestsDeleteTool:
+    documentation: ""
+  WikipediaQueryRun:
+    documentation: ""
+  WolframAlphaQueryRun:
+    documentation: ""
 utilities:
-  - BingSearchAPIWrapper
-  - GoogleSearchAPIWrapper
-  - GoogleSerperAPIWrapper
-  - SearxResults
-  - SearxSearchWrapper
-  - SerpAPIWrapper
-  - WikipediaAPIWrapper
-  - WolframAlphaAPIWrapper
-  # - ZapierNLAWrapper
-  - SQLDatabase
+  BingSearchAPIWrapper:
+    documentation: ""
+  GoogleSearchAPIWrapper:
+    documentation: ""
+  GoogleSerperAPIWrapper:
+    documentation: ""
+  SearxResults:
+    documentation: ""
+  SearxSearchWrapper:
+    documentation: ""
+  SerpAPIWrapper:
+    documentation: ""
+  WikipediaAPIWrapper:
+    documentation: ""
+  WolframAlphaAPIWrapper:
+    documentation: ""
 vectorstores:
-  - Chroma
-  - Qdrant
-  - Weaviate
-  - FAISS
-  - Pinecone
-  - SupabaseVectorStore
-  - MongoDBAtlasVectorSearch
+  Chroma:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/chroma"
+  Qdrant:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/qdrant"
+  Weaviate:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/weaviate"
+  FAISS:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/faiss"
+  Pinecone:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/pinecone"
+  SupabaseVectorStore:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/supabase"
+  MongoDBAtlasVectorSearch:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/mongodb_atlas_vector_search"
 wrappers:
-  - RequestsWrapper
-  # - ChatPromptTemplate
-  # - SystemMessagePromptTemplate
-  # - HumanMessagePromptTemplate
+  RequestsWrapper:
+    documentation: ""
diff --git a/src/backend/langflow/interface/agents/custom.py b/src/backend/langflow/interface/agents/custom.py
index a4191a8b7..aa0cfb5db 100644
--- a/src/backend/langflow/interface/agents/custom.py
+++ b/src/backend/langflow/interface/agents/custom.py
@@ -6,6 +6,7 @@ from langchain.agents import (
     Tool,
     ZeroShotAgent,
     initialize_agent,
+    AgentType,
 )
 from langchain.agents.agent_toolkits import (
     SQLDatabaseToolkit,
@@ -297,6 +298,9 @@ class InitializeAgent(CustomAgentExecutor):
         agent: str,
         memory: Optional[BaseChatMemory] = None,
     ):
+        # Find which value in the AgentType enum corresponds to the string
+        # passed in as agent
+        agent = AgentType(agent)
         return initialize_agent(
             tools=tools,
             llm=llm,
diff --git a/src/backend/langflow/interface/base.py b/src/backend/langflow/interface/base.py
index df0c2c50c..6e1522dd2 100644
--- a/src/backend/langflow/interface/base.py
+++ b/src/backend/langflow/interface/base.py
@@ -8,6 +8,7 @@ from langflow.template.field.base import TemplateField
 from langflow.template.frontend_node.base import FrontendNode
 from langflow.template.template.base import Template
 from langflow.utils.logger import logger
+from langflow.settings import settings
 
 # Assuming necessary imports for Field, Template, and FrontendNode classes
 
@@ -15,12 +16,29 @@ from langflow.utils.logger import logger
 class LangChainTypeCreator(BaseModel, ABC):
     type_name: str
     type_dict: Optional[Dict] = None
+    name_docs_dict: Optional[Dict[str, str]] = None
 
     @property
     def frontend_node_class(self) -> Type[FrontendNode]:
         """The class type of the FrontendNode created in frontend_node."""
         return FrontendNode
 
+    @property
+    def docs_map(self) -> Dict[str, str]:
+        """A dict with the name of the component as key and the documentation link as value."""
+        if self.name_docs_dict is None:
+            try:
+                type_settings = getattr(settings, self.type_name)
+                self.name_docs_dict = {
+                    name: value_dict["documentation"]
+                    for name, value_dict in type_settings.items()
+                }
+            except AttributeError as exc:
+                logger.error(exc)
+
+                self.name_docs_dict = {}
+        return self.name_docs_dict
+
     @property
     @abstractmethod
     def type_to_loader_dict(self) -> Dict:
@@ -83,7 +101,7 @@ class LangChainTypeCreator(BaseModel, ABC):
 
         signature.add_extra_fields()
         signature.add_extra_base_classes()
-
+        signature.set_documentation(self.docs_map.get(name, ""))
         return signature
 
 
diff --git a/src/backend/langflow/interface/initialize/loading.py b/src/backend/langflow/interface/initialize/loading.py
index 88b981f9d..cfa5b5717 100644
--- a/src/backend/langflow/interface/initialize/loading.py
+++ b/src/backend/langflow/interface/initialize/loading.py
@@ -1,11 +1,12 @@
 import json
-from typing import Any, Callable, Dict, Sequence
+from typing import Any, Callable, Dict, Sequence, Type
 
 from langchain.agents import ZeroShotAgent
 from langchain.agents import agent as agent_module
 from langchain.agents.agent import AgentExecutor
 from langchain.agents.agent_toolkits.base import BaseToolkit
 from langchain.agents.tools import BaseTool
+
 from langflow.interface.initialize.vector_store import vecstore_initializer
 
 from pydantic import ValidationError
@@ -16,6 +17,11 @@ from langflow.interface.toolkits.base import toolkits_creator
 from langflow.interface.chains.base import chain_creator
 from langflow.interface.utils import load_file_into_dict
 from langflow.utils import validate
+from langchain.chains.base import Chain
+from langchain.vectorstores.base import VectorStore
+from langchain.document_loaders.base import BaseLoader
+from langchain.prompts.base import BasePromptTemplate
+from langflow.chat.config import ChatConfig
 
 
 def instantiate_class(node_type: str, base_type: str, params: Dict) -> Any:
@@ -72,11 +78,22 @@ def instantiate_based_on_type(class_object, base_type, node_type, params):
         return instantiate_utility(node_type, class_object, params)
     elif base_type == "chains":
         return instantiate_chains(node_type, class_object, params)
+    elif base_type == "llms":
+        return instantiate_llm(node_type, class_object, params)
     else:
         return class_object(**params)
 
 
-def instantiate_chains(node_type, class_object, params):
+def instantiate_llm(node_type, class_object, params: Dict):
+    # This is a workaround so JinaChat works until streaming is implemented
+    # if "openai_api_base" in params and "jina" in params["openai_api_base"]:
+    # False if condition is True
+    ChatConfig.streaming = "jina" not in params.get("openai_api_base", "")
+
+    return class_object(**params)
+
+
+def instantiate_chains(node_type, class_object: Type[Chain], params: Dict):
     if "retriever" in params and hasattr(params["retriever"], "as_retriever"):
         params["retriever"] = params["retriever"].as_retriever()
     if node_type in chain_creator.from_method_nodes:
@@ -88,11 +105,11 @@ def instantiate_chains(node_type, class_object, params):
     return class_object(**params)
 
 
-def instantiate_agent(class_object, params):
+def instantiate_agent(class_object: Type[agent_module.Agent], params: Dict):
     return load_agent_executor(class_object, params)
 
 
-def instantiate_prompt(node_type, class_object, params):
+def instantiate_prompt(node_type, class_object: Type[BasePromptTemplate], params: Dict):
     if node_type == "ZeroShotPrompt":
         if "tools" not in params:
             params["tools"] = []
@@ -100,7 +117,7 @@ def instantiate_prompt(node_type, class_object, params):
     return class_object(**params)
 
 
-def instantiate_tool(node_type, class_object, params):
+def instantiate_tool(node_type, class_object: Type[BaseTool], params: Dict):
     if node_type == "JsonSpec":
         params["dict_"] = load_file_into_dict(params.pop("path"))
         return class_object(**params)
@@ -118,7 +135,7 @@ def instantiate_tool(node_type, class_object, params):
     return class_object(**params)
 
 
-def instantiate_toolkit(node_type, class_object, params):
+def instantiate_toolkit(node_type, class_object: Type[BaseToolkit], params: Dict):
     loaded_toolkit = class_object(**params)
     # Commenting this out for now to use toolkits as normal tools
     # if toolkits_creator.has_create_function(node_type):
@@ -128,7 +145,7 @@ def instantiate_toolkit(node_type, class_object, params):
     return loaded_toolkit
 
 
-def instantiate_embedding(class_object, params):
+def instantiate_embedding(class_object, params: Dict):
     params.pop("model", None)
     params.pop("headers", None)
     try:
@@ -142,7 +159,7 @@ def instantiate_embedding(class_object, params):
         return class_object(**params)
 
 
-def instantiate_vectorstore(class_object, params):
+def instantiate_vectorstore(class_object: Type[VectorStore], params: Dict):
     search_kwargs = params.pop("search_kwargs", {})
     if initializer := vecstore_initializer.get(class_object.__name__):
         vecstore = initializer(class_object, params)
@@ -158,7 +175,7 @@ def instantiate_vectorstore(class_object, params):
     return vecstore
 
 
-def instantiate_documentloader(class_object, params):
+def instantiate_documentloader(class_object: Type[BaseLoader], params: Dict):
     if "file_filter" in params:
         # file_filter will be a string but we need a function
         # that will be used to filter the files using file_filter
@@ -187,19 +204,29 @@ def instantiate_documentloader(class_object, params):
     return docs
 
 
-def instantiate_textsplitter(class_object, params):
+def instantiate_textsplitter(
+    class_object,
+    params: Dict,
+):
     try:
         documents = params.pop("documents")
-    except KeyError as e:
+    except KeyError as exc:
         raise ValueError(
             "The source you provided did not load correctly or was empty."
             "Try changing the chunk_size of the Text Splitter."
-        ) from e
-    text_splitter = class_object(**params)
+        ) from exc
+
+    if "separator_type" in params and params["separator_type"] == "Text":
+        text_splitter = class_object(**params)
+    else:
+        params["language"] = params.pop("separator_type", None)
+        params.pop("separators", None)
+        text_splitter = class_object.from_language(**params)
+
     return text_splitter.split_documents(documents)
 
 
-def instantiate_utility(node_type, class_object, params):
+def instantiate_utility(node_type, class_object, params: Dict):
     if node_type == "SQLDatabase":
         return class_object.from_uri(params.pop("uri"))
     return class_object(**params)
diff --git a/src/backend/langflow/interface/utils.py b/src/backend/langflow/interface/utils.py
index 2777025ab..ff89e92bf 100644
--- a/src/backend/langflow/interface/utils.py
+++ b/src/backend/langflow/interface/utils.py
@@ -4,9 +4,12 @@ import os
 from io import BytesIO
 import re
 
+
 import yaml
 from langchain.base_language import BaseLanguageModel
 from PIL.Image import Image
+from langflow.utils.logger import logger
+from langflow.chat.config import ChatConfig
 
 
 def load_file_into_dict(file_path: str) -> dict:
@@ -48,9 +51,9 @@ def try_setting_streaming_options(langchain_object, websocket):
 
     if isinstance(llm, BaseLanguageModel):
         if hasattr(llm, "streaming") and isinstance(llm.streaming, bool):
-            llm.streaming = True
+            llm.streaming = ChatConfig.streaming
         elif hasattr(llm, "stream") and isinstance(llm.stream, bool):
-            llm.stream = True
+            llm.stream = ChatConfig.streaming
 
     return langchain_object
 
@@ -58,3 +61,22 @@ def try_setting_streaming_options(langchain_object, websocket):
 def extract_input_variables_from_prompt(prompt: str) -> list[str]:
     """Extract input variables from prompt."""
     return re.findall(r"{(.*?)}", prompt)
+
+
+def setup_llm_caching():
+    """Setup LLM caching."""
+
+    try:
+        import langchain
+        from langflow.settings import settings
+        from langflow.interface.importing.utils import import_class
+
+        cache_class = import_class(f"langchain.cache.{settings.cache}")
+
+        logger.debug(f"Setting up LLM caching with {cache_class.__name__}")
+        langchain.llm_cache = cache_class()
+        logger.info(f"LLM caching setup with {cache_class.__name__}")
+    except ImportError:
+        logger.warning(f"Could not import {settings.cache}. ")
+    except Exception as exc:
+        logger.warning(f"Could not setup LLM caching. Error: {exc}")
diff --git a/src/backend/langflow/main.py b/src/backend/langflow/main.py
index ad3217eb5..e937931d6 100644
--- a/src/backend/langflow/main.py
+++ b/src/backend/langflow/main.py
@@ -1,8 +1,13 @@
+from pathlib import Path
+from typing import Optional
 from fastapi import FastAPI
 from fastapi.middleware.cors import CORSMiddleware
+from fastapi.responses import FileResponse
+from fastapi.staticfiles import StaticFiles
 
 from langflow.api import router
 from langflow.database.base import create_db_and_tables
+from langflow.interface.utils import setup_llm_caching
 
 
 def create_app():
@@ -28,6 +33,43 @@ def create_app():
 
     app.include_router(router)
     app.on_event("startup")(create_db_and_tables)
+    app.on_event("startup")(setup_llm_caching)
+    return app
+
+
+def setup_static_files(app: FastAPI, static_files_dir: Path):
+    """
+    Setup the static files directory.
+    Args:
+        app (FastAPI): FastAPI app.
+        path (str): Path to the static files directory.
+    """
+    app.mount(
+        "/",
+        StaticFiles(directory=static_files_dir, html=True),
+        name="static",
+    )
+
+    @app.exception_handler(404)
+    async def custom_404_handler(request, __):
+        path = static_files_dir / "index.html"
+
+        if not path.exists():
+            raise RuntimeError(f"File at path {path} does not exist.")
+        return FileResponse(path)
+
+
+# app = create_app()
+# setup_static_files(app, static_files_dir)
+def setup_app(static_files_dir: Optional[Path]) -> FastAPI:
+    """Setup the FastAPI app."""
+    # get the directory of the current file
+    if not static_files_dir:
+        frontend_path = Path(__file__).parent
+        static_files_dir = frontend_path / "frontend"
+
+    app = create_app()
+    setup_static_files(app, static_files_dir)
     return app
 
 
diff --git a/src/backend/langflow/settings.py b/src/backend/langflow/settings.py
index 9d6ac3fa9..f153ba706 100644
--- a/src/backend/langflow/settings.py
+++ b/src/backend/langflow/settings.py
@@ -1,26 +1,26 @@
 import os
-from typing import List
 
 import yaml
 from pydantic import BaseSettings, root_validator
 
 
 class Settings(BaseSettings):
-    chains: List[str] = []
-    agents: List[str] = []
-    prompts: List[str] = []
-    llms: List[str] = []
-    tools: List[str] = []
-    memories: List[str] = []
-    embeddings: List[str] = []
-    vectorstores: List[str] = []
-    documentloaders: List[str] = []
-    wrappers: List[str] = []
-    toolkits: List[str] = []
-    textsplitters: List[str] = []
-    utilities: List[str] = []
+    chains: dict = {}
+    agents: dict = {}
+    prompts: dict = {}
+    llms: dict = {}
+    tools: dict = {}
+    memories: dict = {}
+    embeddings: dict = {}
+    vectorstores: dict = {}
+    documentloaders: dict = {}
+    wrappers: dict = {}
+    toolkits: dict = {}
+    textsplitters: dict = {}
+    utilities: dict = {}
     dev: bool = False
     database_url: str = "sqlite:///./langflow.db"
+    cache: str = "InMemoryCache"
     remove_api_keys: bool = False
 
     class Config:
@@ -37,16 +37,16 @@ class Settings(BaseSettings):
 
     def update_from_yaml(self, file_path: str, dev: bool = False):
         new_settings = load_settings_from_yaml(file_path)
-        self.chains = new_settings.chains or []
-        self.agents = new_settings.agents or []
-        self.prompts = new_settings.prompts or []
-        self.llms = new_settings.llms or []
-        self.tools = new_settings.tools or []
-        self.memories = new_settings.memories or []
-        self.wrappers = new_settings.wrappers or []
-        self.toolkits = new_settings.toolkits or []
-        self.textsplitters = new_settings.textsplitters or []
-        self.utilities = new_settings.utilities or []
+        self.chains = new_settings.chains or {}
+        self.agents = new_settings.agents or {}
+        self.prompts = new_settings.prompts or {}
+        self.llms = new_settings.llms or {}
+        self.tools = new_settings.tools or {}
+        self.memories = new_settings.memories or {}
+        self.wrappers = new_settings.wrappers or {}
+        self.toolkits = new_settings.toolkits or {}
+        self.textsplitters = new_settings.textsplitters or {}
+        self.utilities = new_settings.utilities or {}
         self.dev = dev
 
     def update_settings(self, **kwargs):
diff --git a/src/backend/langflow/template/field/base.py b/src/backend/langflow/template/field/base.py
index a9c18ff63..fdfdca562 100644
--- a/src/backend/langflow/template/field/base.py
+++ b/src/backend/langflow/template/field/base.py
@@ -21,6 +21,7 @@ class TemplateFieldCreator(BaseModel, ABC):
     name: str = ""
     display_name: Optional[str] = None
     advanced: bool = False
+    info: Optional[str] = ""
 
     def to_dict(self):
         result = self.dict()
diff --git a/src/backend/langflow/template/frontend_node/base.py b/src/backend/langflow/template/frontend_node/base.py
index 4801da086..751ecb709 100644
--- a/src/backend/langflow/template/frontend_node/base.py
+++ b/src/backend/langflow/template/frontend_node/base.py
@@ -15,14 +15,21 @@ class FrontendNode(BaseModel):
     base_classes: List[str]
     name: str = ""
     display_name: str = ""
+    documentation: str = ""
+
+    def set_documentation(self, documentation: str) -> None:
+        """Sets the documentation of the frontend node."""
+        self.documentation = documentation
 
     def to_dict(self) -> dict:
+        """Returns a dict representation of the frontend node."""
         return {
             self.name: {
                 "template": self.template.to_dict(self.format_field),
                 "description": self.description,
                 "base_classes": self.base_classes,
                 "display_name": self.display_name or self.name,
+                "documentation": self.documentation,
             },
         }
 
diff --git a/src/backend/langflow/template/frontend_node/constants.py b/src/backend/langflow/template/frontend_node/constants.py
index 20b8a0c61..d30239ff7 100644
--- a/src/backend/langflow/template/frontend_node/constants.py
+++ b/src/backend/langflow/template/frontend_node/constants.py
@@ -32,3 +32,13 @@ You are a good listener and you can talk about anything.
 HUMAN_PROMPT = "{input}"
 
 QA_CHAIN_TYPES = ["stuff", "map_reduce", "map_rerank", "refine"]
+
+
+# This variable is used to tell the user
+# that it can be changed to use other APIs
+# like Prem and LocalAI
+OPENAI_API_BASE_INFO = """
+The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.
+
+You can change this to use other APIs like JinaChat, LocalAI and Prem.
+"""
diff --git a/src/backend/langflow/template/frontend_node/llms.py b/src/backend/langflow/template/frontend_node/llms.py
index 272e42c7f..65bffc303 100644
--- a/src/backend/langflow/template/frontend_node/llms.py
+++ b/src/backend/langflow/template/frontend_node/llms.py
@@ -2,6 +2,7 @@ from typing import Optional
 
 from langflow.template.field.base import TemplateField
 from langflow.template.frontend_node.base import FrontendNode
+from langflow.template.frontend_node.constants import OPENAI_API_BASE_INFO
 
 
 class LLMFrontendNode(FrontendNode):
@@ -15,6 +16,9 @@ class LLMFrontendNode(FrontendNode):
         if "key" not in field.name.lower() and "token" not in field.name.lower():
             field.password = False
 
+        if field.name == "openai_api_base":
+            field.info = OPENAI_API_BASE_INFO
+
     @staticmethod
     def format_azure_field(field: TemplateField):
         if field.name == "model_name":
diff --git a/src/backend/langflow/template/frontend_node/textsplitters.py b/src/backend/langflow/template/frontend_node/textsplitters.py
index 03880379d..0a444ff08 100644
--- a/src/backend/langflow/template/frontend_node/textsplitters.py
+++ b/src/backend/langflow/template/frontend_node/textsplitters.py
@@ -1,5 +1,6 @@
 from langflow.template.field.base import TemplateField
 from langflow.template.frontend_node.base import FrontendNode
+from langchain.text_splitter import Language
 
 
 class TextSplittersFrontendNode(FrontendNode):
@@ -17,6 +18,22 @@ class TextSplittersFrontendNode(FrontendNode):
             name = "separator"
         elif self.template.type_name == "RecursiveCharacterTextSplitter":
             name = "separators"
+            # Add a field for type of separator
+            # which will have Text or any value from the
+            # Language enum
+            self.template.add_field(
+                TemplateField(
+                    field_type="str",
+                    required=True,
+                    show=True,
+                    name="separator_type",
+                    advanced=False,
+                    is_list=True,
+                    options=[x.value for x in Language],
+                    value="Text",
+                    display_name="Separator Type",
+                )
+            )
         self.template.add_field(
             TemplateField(
                 field_type="str",
diff --git a/src/backend/langflow/template/frontend_node/vectorstores.py b/src/backend/langflow/template/frontend_node/vectorstores.py
index 01b6bfe53..58cfcdc34 100644
--- a/src/backend/langflow/template/frontend_node/vectorstores.py
+++ b/src/backend/langflow/template/frontend_node/vectorstores.py
@@ -200,7 +200,7 @@ class VectorStoreFrontendNode(FrontendNode):
                 self.template.add_field(field)
 
     def add_extra_base_classes(self) -> None:
-        self.base_classes.append("BaseRetriever")
+        self.base_classes.extend(("BaseRetriever", "VectorStoreRetriever"))
 
     @staticmethod
     def format_field(field: TemplateField, name: Optional[str] = None) -> None:
diff --git a/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx b/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx
index 4347b88ca..0701bfcd4 100644
--- a/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx
+++ b/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx
@@ -25,6 +25,7 @@ import { nodeColors } from "../../../../utils";
 import ShadTooltip from "../../../../components/ShadTooltipComponent";
 import { PopUpContext } from "../../../../contexts/popUpContext";
 import ToggleShadComponent from "../../../../components/toggleShadComponent";
+import { Info } from "lucide-react";
 
 export default function ParameterComponent({
   left,
@@ -36,9 +37,11 @@ export default function ParameterComponent({
   type,
   name = "",
   required = false,
+  info = "",
 }: ParameterComponentType) {
   const ref = useRef(null);
   const refHtml = useRef(null);
+  const infoHtml = useRef(null);
   const updateNodeInternals = useUpdateNodeInternals();
   const [position, setPosition] = useState(0);
   const { closePopUp } = useContext(PopUpContext);
@@ -79,6 +82,18 @@ export default function ParameterComponent({
     });
   };
 
+  useEffect(() => {
+    infoHtml.current = (
+      <div className="h-full w-full break-words">
+        {info.split("\n").map((line, i) => (
+          <p key={i} className="block">
+            {line}
+          </p>
+        ))}
+      </div>
+    );
+  }, [info]);
+
   useEffect(() => {
     const groupedObj = groupByFamily(myData, tooltipTitle);
 
@@ -126,8 +141,25 @@ export default function ParameterComponent({
       className="w-full flex flex-wrap justify-between items-center bg-muted dark:bg-gray-800 dark:text-white mt-1 px-5 py-2"
     >
       <>
-        <div className={"text-sm truncate w-full " + (left ? "" : "text-end")}>
+        <div
+          className={
+            "text-sm truncate w-full" +
+            (left ? "" : " text-end") +
+            (info !== "" ? " flex items-center" : "")
+          }
+        >
           {title}
+          <div className="">
+            {info !== "" && (
+              <ShadTooltip
+                open={true}
+                delayDuration={500}
+                content={infoHtml.current}
+              >
+                <Info className="ml-2 relative bottom-0.5 w-3 h-3" />
+              </ShadTooltip>
+            )}
+          </div>
           <span className="text-red-600">{required ? " *" : ""}</span>
         </div>
         {left &&
diff --git a/src/frontend/src/CustomNodes/GenericNode/index.tsx b/src/frontend/src/CustomNodes/GenericNode/index.tsx
index 1668b1d4e..40a306ce6 100644
--- a/src/frontend/src/CustomNodes/GenericNode/index.tsx
+++ b/src/frontend/src/CustomNodes/GenericNode/index.tsx
@@ -6,16 +6,7 @@ import {
 } from "../../utils";
 import ParameterComponent from "./components/parameterComponent";
 import { typesContext } from "../../contexts/typesContext";
-import {
-  useContext,
-  useState,
-  useEffect,
-  useRef,
-  ForwardRefExoticComponent,
-  ComponentType,
-  SVGProps,
-  ReactNode,
-} from "react";
+import { useContext, useState, useEffect, useRef } from "react";
 import { NodeDataType } from "../../types/flow";
 import { alertContext } from "../../contexts/alertContext";
 import { PopUpContext } from "../../contexts/popUpContext";
@@ -23,10 +14,9 @@ import NodeModal from "../../modals/NodeModal";
 import Tooltip from "../../components/TooltipComponent";
 import { NodeToolbar } from "reactflow";
 import NodeToolbarComponent from "../../pages/FlowPage/components/nodeToolbarComponent";
-
+import { FileText, Info } from "lucide-react";
 import ShadTooltip from "../../components/ShadTooltipComponent";
 import { useSSE } from "../../contexts/SSEContext";
-import { ReactElement } from "react-markdown/lib/react-markdown";
 
 export default function GenericNode({
   data,
@@ -46,6 +36,7 @@ export default function GenericNode({
   const [validationStatus, setValidationStatus] = useState(null);
   // State for outline color
   const { sseData, isBuilding } = useSSE();
+  const refHtml = useRef(null);
 
   // useEffect(() => {
   //   if (reactFlowInstance) {
@@ -79,6 +70,22 @@ export default function GenericNode({
 
   useEffect(() => {}, [closePopUp, data.node.template]);
 
+  useEffect(() => {
+    refHtml.current = (
+      <div className="flex">
+        <span>{`${data.node.display_name} Documentation`}</span>
+        <span
+          className="self-center"
+          style={{
+            color: nodeColors[types[data.type]] ?? nodeColors.unknown,
+          }}
+        >
+          <FileText className="h-4 w-4 ml-2" />
+        </span>
+      </div>
+    );
+  }, []);
+
   return (
     <>
       <NodeToolbar>
@@ -103,7 +110,7 @@ export default function GenericNode({
                 color: nodeColors[types[data.type]] ?? nodeColors.unknown,
               }}
             />
-            <div className="ml-2 truncate">
+            <div className="ml-2 truncate flex">
               <ShadTooltip
                 delayDuration={1500}
                 content={data.node.display_name}
@@ -112,6 +119,29 @@ export default function GenericNode({
                   {data.node.display_name}
                 </div>
               </ShadTooltip>
+              <div className="">
+                {data.node.documentation !== "" && (
+                  <ShadTooltip
+                    open={true}
+                    delayDuration={1000}
+                    content={refHtml.current}
+                  >
+                    <a
+                      href={data.node.documentation}
+                      target="_blank"
+                      rel="noopener noreferrer"
+                    >
+                      <Info
+                        style={{
+                          color:
+                            nodeColors[types[data.type]] ?? nodeColors.unknown,
+                        }}
+                        className="ml-2 self-center w-4 h-4"
+                      />
+                    </a>
+                  </ShadTooltip>
+                )}
+              </div>
             </div>
           </div>
           <div className="flex gap-3">
@@ -214,6 +244,7 @@ export default function GenericNode({
                           ? toTitleCase(data.node.template[t].name)
                           : toTitleCase(t)
                       }
+                      info={data.node.template[t].info}
                       name={t}
                       tooltipTitle={data.node.template[t].type}
                       required={data.node.template[t].required}
diff --git a/src/frontend/src/contexts/tabsContext.tsx b/src/frontend/src/contexts/tabsContext.tsx
index fe5160332..afe85372d 100644
--- a/src/frontend/src/contexts/tabsContext.tsx
+++ b/src/frontend/src/contexts/tabsContext.tsx
@@ -198,10 +198,13 @@ export function TabsProvider({ children }: { children: ReactNode }) {
       edge.style = { stroke: "#555555" };
     });
   }
+
   function updateDisplay_name(node: NodeType, template: APIClassType) {
-    node.data.node.display_name = template["display_name"]
-      ? template["display_name"]
-      : node.data.type;
+    node.data.node.display_name = template["display_name"] || node.data.type;
+  }
+
+  function updateNodeDocumentation(node: NodeType, template: APIClassType) {
+    node.data.node.documentation = template["documentation"];
   }
 
   function processFlowNodes(flow) {
@@ -218,6 +221,7 @@ export function TabsProvider({ children }: { children: ReactNode }) {
         updateNodeEdges(flow, node, template);
         updateNodeDescription(node, template);
         updateNodeTemplate(node, template);
+        updateNodeDocumentation(node, template);
       }
     });
   }
diff --git a/src/frontend/src/icons/Midjorney/index.tsx b/src/frontend/src/icons/Midjorney/index.tsx
index fd09aa700..fc2daacb8 100644
--- a/src/frontend/src/icons/Midjorney/index.tsx
+++ b/src/frontend/src/icons/Midjorney/index.tsx
@@ -1,9 +1,9 @@
 import React, { forwardRef } from "react";
-import { ReactComponent as MidjorneySVG } from "./Midjourney_Emblem.svg";
+import { ReactComponent as MidjourneySVG } from "./Midjourney_Emblem.svg";
 
-export const MidjorneyIcon = forwardRef<
+export const MidjourneyIcon = forwardRef<
   SVGSVGElement,
   React.PropsWithChildren<{}>
 >((props, ref) => {
-  return <MidjorneySVG ref={ref} {...props} />;
+  return <MidjourneySVG ref={ref} {...props} />;
 });
diff --git a/src/frontend/src/types/api/index.ts b/src/frontend/src/types/api/index.ts
index 928a088dd..feac95447 100644
--- a/src/frontend/src/types/api/index.ts
+++ b/src/frontend/src/types/api/index.ts
@@ -12,6 +12,7 @@ export type APIClassType = {
   description: string;
   template: APITemplateType;
   display_name: string;
+  documentation: string;
   [key: string]: Array<string> | string | APITemplateType;
 };
 export type TemplateVariableType = {
diff --git a/src/frontend/src/types/components/index.ts b/src/frontend/src/types/components/index.ts
index 630526193..b1570ddda 100644
--- a/src/frontend/src/types/components/index.ts
+++ b/src/frontend/src/types/components/index.ts
@@ -1,10 +1,4 @@
-import {
-  ComponentType,
-  ForwardRefExoticComponent,
-  ReactElement,
-  ReactNode,
-  SVGProps,
-} from "react";
+import { ReactElement, ReactNode } from "react";
 import { NodeDataType } from "../flow/index";
 import { typesContextType } from "../typesContext";
 export type InputComponentType = {
@@ -41,6 +35,7 @@ export type ParameterComponentType = {
   name?: string;
   tooltipTitle: string;
   dataContext?: typesContextType;
+  info?: string;
 };
 export type InputListComponentType = {
   value: string[];
diff --git a/src/frontend/src/utils.ts b/src/frontend/src/utils.ts
index 6c3891b1c..af75b2cdf 100644
--- a/src/frontend/src/utils.ts
+++ b/src/frontend/src/utils.ts
@@ -33,7 +33,7 @@ import { HackerNewsIcon } from "./icons/hackerNews";
 import { HugginFaceIcon } from "./icons/HuggingFace";
 import { IFixIcon } from "./icons/IFixIt";
 import { MetaIcon } from "./icons/Meta";
-import { MidjorneyIcon } from "./icons/Midjorney";
+import { MidjourneyIcon } from "./icons/Midjorney";
 import { NotionIcon } from "./icons/Notion";
 import { OpenAiIcon } from "./icons/OpenAi";
 import { QDrantIcon } from "./icons/QDrant";
@@ -45,7 +45,6 @@ import { twMerge } from "tailwind-merge";
 import { ADJECTIVES, DESCRIPTIONS, NOUNS } from "./constants";
 import { ComponentType, SVGProps } from "react";
 import {
-  Boxes,
   Cpu,
   Fingerprint,
   Gift,
@@ -53,7 +52,6 @@ import {
   HelpCircle,
   Laptop2,
   Layers,
-  LayoutDashboard,
   Lightbulb,
   Link,
   MessageCircle,
@@ -189,7 +187,7 @@ export const nodeIcons: {
   HuggingFaceEmbeddings: HugginFaceIcon,
   IFixitLoader: IFixIcon,
   Meta: MetaIcon,
-  Midjorney: MidjorneyIcon,
+  Midjourney: MidjourneyIcon,
   NotionDirectoryLoader: NotionIcon,
   ChatOpenAI: OpenAiIcon,
   OpenAI: OpenAiIcon,
@@ -287,7 +285,10 @@ export const nodeIconsLucide: {
   Meta: MetaIcon as React.ForwardRefExoticComponent<
     ComponentType<SVGProps<SVGSVGElement>>
   >,
-  Midjorney: MidjorneyIcon as React.ForwardRefExoticComponent<
+  Midjorney: MidjourneyIcon as React.ForwardRefExoticComponent<
+    ComponentType<SVGProps<SVGSVGElement>>
+  >,
+  MongoDBAtlasVectorSearch: MongoDBIcon as React.ForwardRefExoticComponent<
     ComponentType<SVGProps<SVGSVGElement>>
   >,
   NotionDirectoryLoader: NotionIcon as React.ForwardRefExoticComponent<
@@ -302,6 +303,9 @@ export const nodeIconsLucide: {
   OpenAIEmbeddings: OpenAiIcon as React.ForwardRefExoticComponent<
     ComponentType<SVGProps<SVGSVGElement>>
   >,
+  Pinecone: PineconeIcon as React.ForwardRefExoticComponent<
+    ComponentType<SVGProps<SVGSVGElement>>
+  >,
   Qdrant: QDrantIcon as React.ForwardRefExoticComponent<
     ComponentType<SVGProps<SVGSVGElement>>
   >,
@@ -311,6 +315,9 @@ export const nodeIconsLucide: {
   SlackDirectoryLoader: SlackIcon as React.ForwardRefExoticComponent<
     ComponentType<SVGProps<SVGSVGElement>>
   >,
+  SupabaseVectorStore: SupabaseIcon as React.ForwardRefExoticComponent<
+    ComponentType<SVGProps<SVGSVGElement>>
+  >,
   agents: Rocket as React.ForwardRefExoticComponent<
     ComponentType<SVGProps<SVGSVGElement>>
   >,
diff --git a/tests/test_prompts_template.py b/tests/test_prompts_template.py
index a8562898c..5094f50f0 100644
--- a/tests/test_prompts_template.py
+++ b/tests/test_prompts_template.py
@@ -88,85 +88,6 @@ def test_prompt_template(client: TestClient):
     }
 
 
-def test_few_shot_prompt_template(client: TestClient):
-    response = client.get("api/v1/all")
-    assert response.status_code == 200
-    json_response = response.json()
-    prompts = json_response["prompts"]
-
-    prompt = prompts["FewShotPromptTemplate"]
-    template = prompt["template"]
-    # Test other fields in the template similar to PromptTemplate
-    assert template["examples"] == {
-        "required": False,
-        "placeholder": "",
-        "show": True,
-        "multiline": True,
-        "password": False,
-        "name": "examples",
-        "type": "prompt",
-        "list": True,
-        "advanced": False,
-    }
-    assert template["example_selector"] == {
-        "required": False,
-        "placeholder": "",
-        "show": False,
-        "multiline": False,
-        "password": False,
-        "name": "example_selector",
-        "type": "BaseExampleSelector",
-        "list": False,
-        "advanced": False,
-    }
-    assert template["example_prompt"] == {
-        "required": True,
-        "placeholder": "",
-        "show": True,
-        "multiline": False,
-        "password": False,
-        "name": "example_prompt",
-        "type": "PromptTemplate",
-        "list": False,
-        "advanced": False,
-    }
-    assert template["suffix"] == {
-        "required": True,
-        "placeholder": "",
-        "show": True,
-        "multiline": True,
-        "password": False,
-        "name": "suffix",
-        "type": "prompt",
-        "list": False,
-        "advanced": False,
-    }
-    assert template["example_separator"] == {
-        "required": False,
-        "placeholder": "",
-        "show": False,
-        "multiline": False,
-        "value": "\n\n",
-        "password": False,
-        "name": "example_separator",
-        "type": "str",
-        "list": False,
-        "advanced": False,
-    }
-    assert template["prefix"] == {
-        "required": False,
-        "placeholder": "",
-        "show": True,
-        "multiline": True,
-        "value": "",
-        "password": False,
-        "name": "prefix",
-        "type": "prompt",
-        "list": False,
-        "advanced": False,
-    }
-
-
 def test_zero_shot_prompt(client: TestClient):
     response = client.get("api/v1/all")
     assert response.status_code == 200