diff --git a/poetry.lock b/poetry.lock
index 89d0920de..1b4c5d334 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -277,21 +277,22 @@ files = [
 
 [[package]]
 name = "attrs"
-version = "23.1.0"
+version = "23.2.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "attrs-23.1.0-py3-none-any.whl", hash = "sha256:1f28b4522cdc2fb4256ac1a020c78acf9cba2c6b461ccd2c126f3aa8e8335d04"},
-    {file = "attrs-23.1.0.tar.gz", hash = "sha256:6279836d581513a26f1bf235f9acd333bc9115683f14f7e8fae46c98fc50e015"},
+    {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"},
+    {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"},
 ]
 
 [package.extras]
 cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
-dev = ["attrs[docs,tests]", "pre-commit"]
+dev = ["attrs[tests]", "pre-commit"]
 docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
 tests = ["attrs[tests-no-zope]", "zope-interface"]
-tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
+tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
 
 [[package]]
 name = "authlib"
@@ -410,17 +411,17 @@ files = [
 
 [[package]]
 name = "boto3"
-version = "1.34.10"
+version = "1.34.14"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">= 3.8"
 files = [
-    {file = "boto3-1.34.10-py3-none-any.whl", hash = "sha256:8d3d3cc8bffc3fd6c64c55f69327d4e375b6796054dcf09f43ec8b0a9f864a74"},
-    {file = "boto3-1.34.10.tar.gz", hash = "sha256:ea14bc081d9cb40291133f89b3ad9070be360e152d6a98263af7b97a6534b669"},
+    {file = "boto3-1.34.14-py3-none-any.whl", hash = "sha256:1f94042f4efb5133b6b9b8b3243afc01143a81d21b3197a3afadf5780f97b05d"},
+    {file = "boto3-1.34.14.tar.gz", hash = "sha256:5c1bb487c68120aae236354d81b8a1a55d0aa3395d30748a01825ef90891921e"},
 ]
 
 [package.dependencies]
-botocore = ">=1.34.10,<1.35.0"
+botocore = ">=1.34.14,<1.35.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.10.0,<0.11.0"
 
@@ -429,13 +430,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.34.10"
+version = "1.34.14"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">= 3.8"
 files = [
-    {file = "botocore-1.34.10-py3-none-any.whl", hash = "sha256:ad0e924bbdd5469b62ea82a205bd3a9e03a00a61b661ed6446739b82849ea8be"},
-    {file = "botocore-1.34.10.tar.gz", hash = "sha256:e981d2d727f26732753269d60a51a1851ad9de6c1aa823e5443c7b06221aada0"},
+    {file = "botocore-1.34.14-py3-none-any.whl", hash = "sha256:3b592f50f0406e236782a3a0a9ad1c3976060fdb2e04a23d18c3df5b7dfad3e0"},
+    {file = "botocore-1.34.14.tar.gz", hash = "sha256:041bed0852649cab7e4dcd4d87f9d1cc084467fb846e5b60015e014761d96414"},
 ]
 
 [package.dependencies]
@@ -925,13 +926,13 @@ testing = ["pytest (>=7.2.1)", "pytest-cov (>=4.0.0)", "tox (>=4.4.3)"]
 
 [[package]]
 name = "cohere"
-version = "4.39"
+version = "4.40"
 description = "Python SDK for the Cohere API"
 optional = false
 python-versions = ">=3.8,<4.0"
 files = [
-    {file = "cohere-4.39-py3-none-any.whl", hash = "sha256:7f157b7ac0a70b1dda77dc56c4fc063e8d21efcd2bb13759cd5b6839080405e7"},
-    {file = "cohere-4.39.tar.gz", hash = "sha256:9e94bb1e5b2e2d464738e0ab3c99ed2879c043cccc90ecbeffd124e81867745d"},
+    {file = "cohere-4.40-py3-none-any.whl", hash = "sha256:75dac8369d97fadc05901352d9db64a0ca6cd40c08423f3c4691f57eb7b131e7"},
+    {file = "cohere-4.40.tar.gz", hash = "sha256:d9e5c1fa7f80a193c03330a634954b927bf188ead7dcfdb51865480f73aebda8"},
 ]
 
 [package.dependencies]
@@ -983,13 +984,13 @@ cron = ["capturer (>=2.4)"]
 
 [[package]]
 name = "comm"
-version = "0.2.0"
+version = "0.2.1"
 description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "comm-0.2.0-py3-none-any.whl", hash = "sha256:2da8d9ebb8dd7bfc247adaff99f24dce705638a8042b85cb995066793e391001"},
-    {file = "comm-0.2.0.tar.gz", hash = "sha256:a517ea2ca28931c7007a7a99c562a0fa5883cfb48963140cf642c41c948498be"},
+    {file = "comm-0.2.1-py3-none-any.whl", hash = "sha256:87928485c0dfc0e7976fd89fc1e187023cf587e7c353e4a9b417555b44adf021"},
+    {file = "comm-0.2.1.tar.gz", hash = "sha256:0bc91edae1344d39d3661dcbc36937181fdaddb304790458f8b044dbc064b89a"},
 ]
 
 [package.dependencies]
@@ -1393,6 +1394,42 @@ six = ">=1.9.0"
 gmpy = ["gmpy"]
 gmpy2 = ["gmpy2"]
 
+[[package]]
+name = "elastic-transport"
+version = "8.11.0"
+description = "Transport classes and utilities shared among Python Elastic client libraries"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "elastic-transport-8.11.0.tar.gz", hash = "sha256:1a6ab59b2a6f6feeef20d254babb1b27fbf0b2bc8d3cf485f5211b422290dd4c"},
+    {file = "elastic_transport-8.11.0-py3-none-any.whl", hash = "sha256:dfb5d8a0cb649c159ebf4d9b1f55b7c8d00bb65687c53060b54cc9b2a7c84344"},
+]
+
+[package.dependencies]
+certifi = "*"
+urllib3 = ">=1.26.2,<3"
+
+[package.extras]
+develop = ["aiohttp", "furo", "mock", "pytest", "pytest-asyncio", "pytest-cov", "pytest-httpserver", "pytest-mock", "requests", "sphinx (>2)", "sphinx-autodoc-typehints", "trustme"]
+
+[[package]]
+name = "elasticsearch"
+version = "8.11.1"
+description = "Python client for Elasticsearch"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "elasticsearch-8.11.1-py3-none-any.whl", hash = "sha256:a98309cee11fef8d6750f388683e9a8005da94bdfd940b36ef85cb6cc53186c7"},
+    {file = "elasticsearch-8.11.1.tar.gz", hash = "sha256:360b721324ce4bc7d554afb8acbf4942370e73c5ef8c4dad5f5ba3bb2a70eeae"},
+]
+
+[package.dependencies]
+elastic-transport = ">=8,<9"
+
+[package.extras]
+async = ["aiohttp (>=3,<4)"]
+requests = ["requests (>=2.4.0,<3.0.0)"]
+
 [[package]]
 name = "emoji"
 version = "2.9.0"
@@ -2089,13 +2126,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-api-python-client"
-version = "2.111.0"
+version = "2.112.0"
 description = "Google API Client Library for Python"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-api-python-client-2.111.0.tar.gz", hash = "sha256:3a45a53c031478d1c82c7162dd25c9a965247bca6bd438af0838a9d9b8219405"},
-    {file = "google_api_python_client-2.111.0-py2.py3-none-any.whl", hash = "sha256:b605adee2d09a843b97a59925757802904679e44e5599708cedb8939900dfbc7"},
+    {file = "google-api-python-client-2.112.0.tar.gz", hash = "sha256:c3bcb5fd70d57f4c94b30c0dbeade53c216febfbf1d771eeb1a2fa74bd0d6756"},
+    {file = "google_api_python_client-2.112.0-py2.py3-none-any.whl", hash = "sha256:f5e45d9812376deb7e04cda8d8ca5233aa608038bdbf1253ad8f7edcb7f6d595"},
 ]
 
 [package.dependencies]
@@ -2107,13 +2144,13 @@ uritemplate = ">=3.0.1,<5"
 
 [[package]]
 name = "google-auth"
-version = "2.25.2"
+version = "2.26.1"
 description = "Google Authentication Library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-auth-2.25.2.tar.gz", hash = "sha256:42f707937feb4f5e5a39e6c4f343a17300a459aaf03141457ba505812841cc40"},
-    {file = "google_auth-2.25.2-py2.py3-none-any.whl", hash = "sha256:473a8dfd0135f75bb79d878436e568f2695dce456764bf3a02b6f8c540b1d256"},
+    {file = "google-auth-2.26.1.tar.gz", hash = "sha256:54385acca5c0fbdda510cd8585ba6f3fcb06eeecf8a6ecca39d3ee148b092590"},
+    {file = "google_auth-2.26.1-py2.py3-none-any.whl", hash = "sha256:2c8b55e3e564f298122a02ab7b97458ccfcc5617840beb5d0ac757ada92c9780"},
 ]
 
 [package.dependencies]
@@ -2145,13 +2182,13 @@ httplib2 = ">=0.19.0"
 
 [[package]]
 name = "google-cloud-aiplatform"
-version = "1.38.1"
+version = "1.39.0"
 description = "Vertex AI API client library"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "google-cloud-aiplatform-1.38.1.tar.gz", hash = "sha256:30439d914bb028443c0506cc0e6dd825cff5401aeb8233e13d8cfd77c3c87da1"},
-    {file = "google_cloud_aiplatform-1.38.1-py2.py3-none-any.whl", hash = "sha256:5e1fcd1068dd2c4f0fc89aa616e34a8b9434eaa72ea6216f5036ef26f08bd448"},
+    {file = "google-cloud-aiplatform-1.39.0.tar.gz", hash = "sha256:62d6accbf9035895736910bc980f0b2a819d5841ae8bc0c981457cc16c49ecd1"},
+    {file = "google_cloud_aiplatform-1.39.0-py2.py3-none-any.whl", hash = "sha256:d7b5c44fbb10d34c7941c5f7aadf7ff480c1469e37eac5b305bc9821fa49f7ee"},
 ]
 
 [package.dependencies]
@@ -2169,7 +2206,7 @@ autologging = ["mlflow (>=1.27.0,<=2.1.1)"]
 cloud-profiler = ["tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "werkzeug (>=2.0.0,<2.1.0dev)"]
 datasets = ["pyarrow (>=10.0.1)", "pyarrow (>=3.0.0,<8.0dev)"]
 endpoint = ["requests (>=2.28.1)"]
-full = ["cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<0.103.1)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (==0.0.11)", "google-vizier (==0.0.4)", "google-vizier (>=0.0.14)", "google-vizier (>=0.1.6)", "httpx (>=0.23.0,<0.25.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pyarrow (>=10.0.1)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyyaml (==5.3.1)", "ray[default] (>=2.4,<2.5)", "ray[default] (>=2.5,<2.5.1)", "requests (>=2.28.1)", "starlette (>=0.17.1)", "tensorflow (>=2.3.0,<3.0.0dev)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)"]
+full = ["cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<0.103.1)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (==0.0.11)", "google-vizier (==0.0.4)", "google-vizier (>=0.0.14)", "google-vizier (>=0.1.6)", "httpx (>=0.23.0,<0.25.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pyarrow (>=10.0.1)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyyaml (==5.3.1)", "ray[default] (>=2.4,<2.5)", "ray[default] (>=2.5,<2.5.1)", "requests (>=2.28.1)", "starlette (>=0.17.1)", "tensorflow (>=2.3.0,<2.15.0)", "tensorflow (>=2.3.0,<3.0.0dev)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)"]
 lit = ["explainable-ai-sdk (>=1.0.0)", "lit-nlp (==0.4.0)", "pandas (>=1.0.0)", "tensorflow (>=2.3.0,<3.0.0dev)"]
 metadata = ["numpy (>=1.15.0)", "pandas (>=1.0.0)"]
 pipelines = ["pyyaml (==5.3.1)"]
@@ -2177,8 +2214,8 @@ prediction = ["docker (>=5.0.3)", "fastapi (>=0.71.0,<0.103.1)", "httpx (>=0.23.
 preview = ["cloudpickle (<3.0)", "google-cloud-logging (<4.0)"]
 private-endpoints = ["requests (>=2.28.1)", "urllib3 (>=1.21.1,<1.27)"]
 ray = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "pandas (>=1.0.0)", "pyarrow (>=6.0.1)", "pydantic (<2)", "ray[default] (>=2.4,<2.5)", "ray[default] (>=2.5,<2.5.1)"]
-tensorboard = ["tensorflow (>=2.3.0,<3.0.0dev)"]
-testing = ["bigframes", "cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<0.103.1)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (==0.0.11)", "google-vizier (==0.0.4)", "google-vizier (>=0.0.14)", "google-vizier (>=0.1.6)", "grpcio-testing", "httpx (>=0.23.0,<0.25.0)", "ipython", "kfp", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pyarrow (>=10.0.1)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyfakefs", "pytest-asyncio", "pytest-xdist", "pyyaml (==5.3.1)", "ray[default] (>=2.4,<2.5)", "ray[default] (>=2.5,<2.5.1)", "requests (>=2.28.1)", "requests-toolbelt (<1.0.0)", "scikit-learn", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<=2.12.0)", "tensorflow (>=2.4.0,<3.0.0dev)", "torch (>=2.0.0,<2.1.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)", "xgboost", "xgboost-ray"]
+tensorboard = ["tensorflow (>=2.3.0,<2.15.0)"]
+testing = ["bigframes", "cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<0.103.1)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (==0.0.11)", "google-vizier (==0.0.4)", "google-vizier (>=0.0.14)", "google-vizier (>=0.1.6)", "grpcio-testing", "httpx (>=0.23.0,<0.25.0)", "ipython", "kfp", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pyarrow (>=10.0.1)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyfakefs", "pytest-asyncio", "pytest-xdist", "pyyaml (==5.3.1)", "ray[default] (>=2.4,<2.5)", "ray[default] (>=2.5,<2.5.1)", "requests (>=2.28.1)", "requests-toolbelt (<1.0.0)", "scikit-learn", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.3.0,<2.15.0)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<=2.12.0)", "tensorflow (>=2.4.0,<3.0.0dev)", "torch (>=2.0.0,<2.1.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)", "xgboost", "xgboost-ray"]
 vizier = ["google-vizier (==0.0.11)", "google-vizier (==0.0.4)", "google-vizier (>=0.0.14)", "google-vizier (>=0.1.6)"]
 xai = ["tensorflow (>=2.3.0,<3.0.0dev)"]
 
@@ -3461,13 +3498,13 @@ test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pyt
 
 [[package]]
 name = "jupyter-core"
-version = "5.5.1"
+version = "5.7.0"
 description = "Jupyter core package. A base package on which Jupyter projects rely."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyter_core-5.5.1-py3-none-any.whl", hash = "sha256:220dfb00c45f0d780ce132bb7976b58263f81a3ada6e90a9b6823785a424f739"},
-    {file = "jupyter_core-5.5.1.tar.gz", hash = "sha256:1553311a97ccd12936037f36b9ab4d6ae8ceea6ad2d5c90d94a909e752178e40"},
+    {file = "jupyter_core-5.7.0-py3-none-any.whl", hash = "sha256:16eea462f7dad23ba9f86542bdf17f830804e2028eb48d609b6134d91681e983"},
+    {file = "jupyter_core-5.7.0.tar.gz", hash = "sha256:cb8d3ed92144d2463a3c5664fdd686a3f0c1442ea45df8babb1c1a9e6333fe03"},
 ]
 
 [package.dependencies]
@@ -3514,13 +3551,13 @@ zookeeper = ["kazoo (>=2.8.0)"]
 
 [[package]]
 name = "langchain"
-version = "0.0.352"
+version = "0.0.354"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
-    {file = "langchain-0.0.352-py3-none-any.whl", hash = "sha256:43ab580e1223e5d7c3495b3c0cb79e2f3a0ecb52caf8126271fb10d42cede2d0"},
-    {file = "langchain-0.0.352.tar.gz", hash = "sha256:8928d7b63d73af9681fe1b2a2b99b84238efef61ed537de666160fd001f41efd"},
+    {file = "langchain-0.0.354-py3-none-any.whl", hash = "sha256:8d28283a2891422a685b0605dd23b5a1cd6a15ab57a8e359b37a3151a322bad4"},
+    {file = "langchain-0.0.354.tar.gz", hash = "sha256:419c48735b803d70c0dee985e0afcfd7c88528b8c1cd918c57eb23e53d94ea87"},
 ]
 
 [package.dependencies]
@@ -3528,9 +3565,9 @@ aiohttp = ">=3.8.3,<4.0.0"
 async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
 dataclasses-json = ">=0.5.7,<0.7"
 jsonpatch = ">=1.33,<2.0"
-langchain-community = ">=0.0.2,<0.1"
-langchain-core = ">=0.1,<0.2"
-langsmith = ">=0.0.70,<0.1.0"
+langchain-community = ">=0.0.8,<0.1"
+langchain-core = ">=0.1.5,<0.2"
+langsmith = ">=0.0.77,<0.1.0"
 numpy = ">=1,<2"
 pydantic = ">=1,<3"
 PyYAML = ">=5.3"
@@ -3554,19 +3591,19 @@ text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
 
 [[package]]
 name = "langchain-community"
-version = "0.0.6"
+version = "0.0.9"
 description = "Community contributed LangChain integrations."
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
-    {file = "langchain_community-0.0.6-py3-none-any.whl", hash = "sha256:13b16da0f89c328df456911ff03069e4d919f647c7dd3bfc5062525cf956ed82"},
-    {file = "langchain_community-0.0.6.tar.gz", hash = "sha256:b7deb63fd8205d54b51cf8b1702de15d1da77987f8465c356b158a65adff378c"},
+    {file = "langchain_community-0.0.9-py3-none-any.whl", hash = "sha256:21e1f96c776541255b7067f32aafbf065f78a33be8f0e2660080ddc3e9ed48b7"},
+    {file = "langchain_community-0.0.9.tar.gz", hash = "sha256:b14f10b249fd61b0b8e3d2896f85c2d577eb4a5e2ae01291e2a4ebbe1bb3c370"},
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 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
 dataclasses-json = ">=0.5.7,<0.7"
-langchain-core = ">=0.1,<0.2"
+langchain-core = ">=0.1.7,<0.2"
 langsmith = ">=0.0.63,<0.1.0"
 numpy = ">=1,<2"
 PyYAML = ">=5.3"
@@ -3576,17 +3613,17 @@ tenacity = ">=8.1.0,<9.0.0"
 
 [package.extras]
 cli = ["typer (>=0.9.0,<0.10.0)"]
-extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.0,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "cohere (>=4,<5)", "dashvector (>=1.0.1,<2.0.0)", "databricks-vectorsearch (>=0.21,<0.22)", "datasets (>=2.15.0,<3.0.0)", "dgml-utils (>=0.3.0,<0.4.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "fireworks-ai (>=0.9.0,<0.10.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "google-cloud-documentai (>=2.20.1,<3.0.0)", "gql (>=3.4.1,<4.0.0)", "gradientai (>=1.4.0,<2.0.0)", "hologres-vector (>=0.0.6,<0.0.7)", "html2text (>=2020.1.16,<2021.0.0)", "javelin-sdk (>=0.1.8,<0.2.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "jsonschema (>1)", "lxml (>=4.9.2,<5.0.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "msal (>=1.25.0,<2.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "openai (<2)", "openapi-pydantic (>=0.3.2,<0.4.0)", "oracle-ads (>=2.9.1,<3.0.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "praw (>=7.7.1,<8.0.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "upstash-redis (>=0.15.0,<0.16.0)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)"]
+extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "azure-ai-documentintelligence (>=1.0.0b1,<2.0.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.0,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "cohere (>=4,<5)", "dashvector (>=1.0.1,<2.0.0)", "databricks-vectorsearch (>=0.21,<0.22)", "datasets (>=2.15.0,<3.0.0)", "dgml-utils (>=0.3.0,<0.4.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "fireworks-ai (>=0.9.0,<0.10.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "google-cloud-documentai (>=2.20.1,<3.0.0)", "gql (>=3.4.1,<4.0.0)", "gradientai (>=1.4.0,<2.0.0)", "hologres-vector (>=0.0.6,<0.0.7)", "html2text (>=2020.1.16,<2021.0.0)", "javelin-sdk (>=0.1.8,<0.2.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "jsonschema (>1)", "lxml (>=4.9.2,<5.0.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "msal (>=1.25.0,<2.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "openai (<2)", "openapi-pydantic (>=0.3.2,<0.4.0)", "oracle-ads (>=2.9.1,<3.0.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "praw (>=7.7.1,<8.0.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "upstash-redis (>=0.15.0,<0.16.0)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)", "zhipuai (>=1.0.7,<2.0.0)"]
 
 [[package]]
 name = "langchain-core"
-version = "0.1.3"
+version = "0.1.7"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
-    {file = "langchain_core-0.1.3-py3-none-any.whl", hash = "sha256:bfbbc5dfeb06cfe3fd078e7a12db3a4cfb9d28b715b200a64f7abb7ae1976b17"},
-    {file = "langchain_core-0.1.3.tar.gz", hash = "sha256:d8898254dfea1c4ab614f470db40909969604775f7524175f6d9167ea58050c9"},
+    {file = "langchain_core-0.1.7-py3-none-any.whl", hash = "sha256:c66327dbb4b7d4ab911556aa0511ebf4f40801ad66d98778fb5566dba45b0091"},
+    {file = "langchain_core-0.1.7.tar.gz", hash = "sha256:c05211a309721d67aa5a681c946a2f010e14632a2bea3728da0a30a2534efa9e"},
 ]
 
 [package.dependencies]
@@ -3677,13 +3714,13 @@ langchain = ["langchain (>=0.0.309)"]
 
 [[package]]
 name = "langsmith"
-version = "0.0.75"
+version = "0.0.77"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
-    {file = "langsmith-0.0.75-py3-none-any.whl", hash = "sha256:3e008854204c5eaae007f34c7e249059218605689c385c037f6a40cac044833b"},
-    {file = "langsmith-0.0.75.tar.gz", hash = "sha256:3fd44c58bd53cb9366af3de129c7f11b6947914f1bb598a585240df0e2c566eb"},
+    {file = "langsmith-0.0.77-py3-none-any.whl", hash = "sha256:750c0aa9177240c64e131d831e009ed08dd59038f7cabbd0bbcf62ccb7c8dcac"},
+    {file = "langsmith-0.0.77.tar.gz", hash = "sha256:c4c8d3a96ad8671a41064f3ccc673e2e22a4153e823b19f915c9c9b8a4f33a2c"},
 ]
 
 [package.dependencies]
@@ -3709,12 +3746,12 @@ regex = ["regex"]
 
 [[package]]
 name = "llama-cpp-python"
-version = "0.2.26"
+version = "0.2.27"
 description = "Python bindings for the llama.cpp library"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "llama_cpp_python-0.2.26.tar.gz", hash = "sha256:b808f3346c3c602096dc567b5a1c03540f4ad213498878bf72496e01a81af40b"},
+    {file = "llama_cpp_python-0.2.27.tar.gz", hash = "sha256:4f7228c38d0618ec80a76130ab4720693ea09efd5cd46920e075cadf00e6d060"},
 ]
 
 [package.dependencies]
@@ -3728,15 +3765,52 @@ dev = ["black (>=23.3.0)", "httpx (>=0.24.1)", "mkdocs (>=1.4.3)", "mkdocs-mater
 server = ["fastapi (>=0.100.0)", "pydantic-settings (>=2.0.1)", "sse-starlette (>=1.6.1)", "starlette-context (>=0.3.6,<0.4)", "uvicorn (>=0.22.0)"]
 test = ["httpx (>=0.24.1)", "pytest (>=7.4.0)", "scipy (>=1.10)"]
 
+[[package]]
+name = "llama-index"
+version = "0.9.26"
+description = "Interface between LLMs and your data"
+optional = false
+python-versions = ">=3.8.1,<4.0"
+files = [
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+    {file = "llama_index-0.9.26.tar.gz", hash = "sha256:9ba0a63984abff6c0f57ae82ff55c32a7715bcb4c3a0970f7dea6ddf20f6de77"},
+]
+
+[package.dependencies]
+aiohttp = ">=3.8.6,<4.0.0"
+beautifulsoup4 = ">=4.12.2,<5.0.0"
+dataclasses-json = "*"
+deprecated = ">=1.2.9.3"
+fsspec = ">=2023.5.0"
+httpx = "*"
+nest-asyncio = ">=1.5.8,<2.0.0"
+nltk = ">=3.8.1,<4.0.0"
+numpy = "*"
+openai = ">=1.1.0"
+pandas = "*"
+requests = ">=2.31.0"
+SQLAlchemy = {version = ">=1.4.49", extras = ["asyncio"]}
+tenacity = ">=8.2.0,<9.0.0"
+tiktoken = ">=0.3.3"
+typing-extensions = ">=4.5.0"
+typing-inspect = ">=0.8.0"
+
+[package.extras]
+gradientai = ["gradientai (>=1.4.0)"]
+langchain = ["langchain (>=0.0.303)"]
+local-models = ["optimum[onnxruntime] (>=1.13.2,<2.0.0)", "sentencepiece (>=0.1.99,<0.2.0)", "transformers[torch] (>=4.34.0,<5.0.0)"]
+postgres = ["asyncpg (>=0.28.0,<0.29.0)", "pgvector (>=0.1.0,<0.2.0)", "psycopg-binary (>=3.1.12,<4.0.0)"]
+query-tools = ["guidance (>=0.0.64,<0.0.65)", "jsonpath-ng (>=1.6.0,<2.0.0)", "lm-format-enforcer (>=0.4.3,<0.5.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "scikit-learn", "spacy (>=3.7.1,<4.0.0)"]
+
 [[package]]
 name = "locust"
-version = "2.20.0"
+version = "2.20.1"
 description = "Developer friendly load testing framework"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "locust-2.20.0-py3-none-any.whl", hash = "sha256:8092dde31c4cfb43b9b40470ffc7c5f95b3a491dfcb813bb50567edec28451dc"},
-    {file = "locust-2.20.0.tar.gz", hash = "sha256:b6f78af64bc5066babe54836f796469906cd606b01f34ee788986d0b1fbac99a"},
+    {file = "locust-2.20.1-py3-none-any.whl", hash = "sha256:70168ccf462f125e0e4304c1f8301d3c18f186e8f257bc6578e7bed5e74e59a7"},
+    {file = "locust-2.20.1.tar.gz", hash = "sha256:9ba4c8658a158aed55774ac3650ac0139fcc1dfa65fea0dabb00ea35b0d56a4e"},
 ]
 
 [package.dependencies]
@@ -3750,7 +3824,7 @@ msgpack = ">=1.0.0"
 psutil = ">=5.9.1"
 pywin32 = {version = "*", markers = "platform_system == \"Windows\""}
 pyzmq = ">=25.0.0"
-requests = ">=2.23.0"
+requests = ">=2.26.0"
 roundrobin = ">=0.0.2"
 Werkzeug = ">=2.0.0"
 
@@ -4150,13 +4224,13 @@ files = [
 
 [[package]]
 name = "msoffcrypto-tool"
-version = "5.1.1"
+version = "5.2.0"
 description = "Python tool and library for decrypting MS Office files with passwords or other keys"
 optional = false
 python-versions = ">=3.8,<4.0"
 files = [
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+    {file = "msoffcrypto_tool-5.2.0-py3-none-any.whl", hash = "sha256:2c6c1040df7a4f8e08256f9562f7898d49ec99ae7a6525f9725681b799b8af70"},
+    {file = "msoffcrypto_tool-5.2.0.tar.gz", hash = "sha256:2f334cecd19eaa7426f26fc6f661a30268d4817e48d4c006708b4b29dcab6d7f"},
 ]
 
 [package.dependencies]
@@ -4429,47 +4503,47 @@ numpy = ">=1.13.3"
 
 [[package]]
 name = "numpy"
-version = "1.26.2"
+version = "1.26.3"
 description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.9"
 files = [
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 [package.extras]
 docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-removed-in", "sphinxext-opengraph"]
+fpx = ["olefile"]
+mic = ["olefile"]
 tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
+typing = ["typing-extensions"]
+xmp = ["defusedxml"]
 
 [[package]]
 name = "pinecone-client"
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 [[package]]
 name = "postgrest"
-version = "0.13.0"
+version = "0.13.1"
 description = "PostgREST client for Python. This library provides an ORM interface to PostgREST."
 optional = false
 python-versions = ">=3.8,<4.0"
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 [package.dependencies]
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-httpx = ">=0.24.0,<0.25.0"
+httpx = ">=0.24,<0.26"
 pydantic = ">=1.9,<3.0"
 strenum = ">=0.4.9,<0.5.0"
 
@@ -5698,50 +5790,50 @@ files = [
 
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+version = "3.4.0"
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 python-versions = "*"
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 [[package]]
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@@ -5843,19 +5935,20 @@ pyasn1 = ">=0.4.6,<0.6.0"
 
 [[package]]
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 python-dotenv = "*"
 termcolor = "*"
 tiktoken = "*"
@@ -6257,13 +6350,13 @@ chardet = "*"
 
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 [package.dependencies]
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 [[package]]
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 [package.dependencies]
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 [[package]]
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+version = "2024.1.2"
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 [[package]]
 name = "python-jose"
@@ -7052,28 +7145,28 @@ msg-parse = ["extract-msg (>=0.27)"]
 
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 ]
 
 [package.dependencies]
-greenlet = {version = "!=0.4.17", markers = "platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\""}
-typing-extensions = ">=4.2.0"
+greenlet = {version = "!=0.4.17", optional = true, markers = "platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\" or extra == \"asyncio\""}
+typing-extensions = ">=4.6.0"
 
 [package.extras]
 aiomysql = ["aiomysql (>=0.2.0)", "greenlet (!=0.4.17)"]
@@ -7656,18 +7749,18 @@ test = ["pylint", "pytest", "pytest-black", "pytest-cov", "pytest-pylint"]
 
 [[package]]
 name = "supabase"
-version = "2.3.0"
+version = "2.3.1"
 description = "Supabase client for Python."
 optional = false
 python-versions = ">=3.8,<4.0"
 files = [
-    {file = "supabase-2.3.0-py3-none-any.whl", hash = "sha256:d4c1f154a1110b1fb55d042e78431c7a2cdb7dee58cd6afb741de191ea235c86"},
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+    {file = "supabase-2.3.1-py3-none-any.whl", hash = "sha256:ea2fee6c9fccdb323faa42e33db38290b842a474e6f6358722b8ce906f8ef8e3"},
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 ]
 
 [package.dependencies]
 gotrue = ">=1.3,<3.0"
-httpx = ">=0.24.0,<0.25.0"
+httpx = ">=0.24,<0.26"
 postgrest = ">=0.10.8,<0.14.0"
 realtime = ">=1.0.0,<2.0.0"
 storage3 = ">=0.5.3,<0.8.0"
@@ -7675,17 +7768,17 @@ supafunc = ">=0.3.1,<0.4.0"
 
 [[package]]
 name = "supafunc"
-version = "0.3.1"
+version = "0.3.3"
 description = "Library for Supabase Functions"
 optional = false
 python-versions = ">=3.8,<4.0"
 files = [
-    {file = "supafunc-0.3.1-py3-none-any.whl", hash = "sha256:8d0f3e09bd2d6bef2088cf91e4337aa920bf5e8ecadd24235e4a276c8c6b301c"},
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 ]
 
 [package.dependencies]
-httpx = ">=0.24.0,<0.25.0"
+httpx = ">=0.24,<0.26"
 
 [[package]]
 name = "sympy"
@@ -8065,13 +8158,13 @@ telegram = ["requests"]
 
 [[package]]
 name = "traitlets"
-version = "5.14.0"
+version = "5.14.1"
 description = "Traitlets Python configuration system"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "traitlets-5.14.1.tar.gz", hash = "sha256:8585105b371a04b8316a43d5ce29c098575c2e477850b62b848b964f1444527e"},
 ]
 
 [package.extras]
@@ -8205,24 +8298,24 @@ files = [
 
 [[package]]
 name = "types-google-cloud-ndb"
-version = "2.2.0.1"
+version = "2.2.0.20240106"
 description = "Typing stubs for google-cloud-ndb"
 optional = false
-python-versions = "*"
+python-versions = ">=3.8"
 files = [
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+    {file = "types-google-cloud-ndb-2.2.0.20240106.tar.gz", hash = "sha256:b81d4ea35f212dc845429d08f1981eb011fe78cee3eebba81157d18b7f6e4616"},
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 ]
 
 [[package]]
 name = "types-passlib"
-version = "1.7.7.13"
+version = "1.7.7.20240106"
 description = "Typing stubs for passlib"
 optional = false
-python-versions = "*"
+python-versions = ">=3.8"
 files = [
-    {file = "types-passlib-1.7.7.13.tar.gz", hash = "sha256:f152639f1f2103d7f59a56e2aec5f9398a75a80830991d0d68aac5c2b9c32a77"},
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 ]
 
 [[package]]
@@ -8238,24 +8331,24 @@ files = [
 
 [[package]]
 name = "types-pyasn1"
-version = "0.5.0.20231222"
+version = "0.5.0.20240106"
 description = "Typing stubs for pyasn1"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "types-pyasn1-0.5.0.20240106.tar.gz", hash = "sha256:80e38befb1ddbf90c58b6f9e5ce158df66c42c87764a6564b1b7b6dd340535f7"},
+    {file = "types_pyasn1-0.5.0.20240106-py3-none-any.whl", hash = "sha256:e6ad48f5a58afb32019cba86a0529cdd52c315495a19122b4823ba4ad5f3c45b"},
 ]
 
 [[package]]
 name = "types-pyopenssl"
-version = "23.3.0.0"
+version = "23.3.0.20240106"
 description = "Typing stubs for pyOpenSSL"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "types-pyOpenSSL-23.3.0.0.tar.gz", hash = "sha256:5ffb077fe70b699c88d5caab999ae80e192fe28bf6cda7989b7e79b1e4e2dcd3"},
-    {file = "types_pyOpenSSL-23.3.0.0-py3-none-any.whl", hash = "sha256:00171433653265843b7469ddb9f3c86d698668064cc33ef10537822156130ebf"},
+    {file = "types-pyOpenSSL-23.3.0.20240106.tar.gz", hash = "sha256:3d6f3462bec0c260caadf93fbb377225c126661b779c7d9ab99b6dad5ca10db9"},
+    {file = "types_pyOpenSSL-23.3.0.20240106-py3-none-any.whl", hash = "sha256:47a7eedbd18b7bcad17efebf1c53416148f5a173918a6d75027e75e32fe039ae"},
 ]
 
 [package.dependencies]
@@ -8263,13 +8356,13 @@ cryptography = ">=35.0.0"
 
 [[package]]
 name = "types-python-jose"
-version = "3.3.4.8"
+version = "3.3.4.20240106"
 description = "Typing stubs for python-jose"
 optional = false
-python-versions = "*"
+python-versions = ">=3.8"
 files = [
-    {file = "types-python-jose-3.3.4.8.tar.gz", hash = "sha256:3c316675c3cee059ccb9aff87358254344915239fa7f19cee2787155a7db14ac"},
-    {file = "types_python_jose-3.3.4.8-py3-none-any.whl", hash = "sha256:95592273443b45dc5cc88f7c56aa5a97725428753fb738b794e63ccb4904954e"},
+    {file = "types-python-jose-3.3.4.20240106.tar.gz", hash = "sha256:b18cf8c5080bbfe1ef7c3b707986435d9efca3e90889acb6a06f65e06bc3405a"},
+    {file = "types_python_jose-3.3.4.20240106-py3-none-any.whl", hash = "sha256:b515a6c0c61f5e2a53bc93e3a2b024cbd42563e2e19cbde9fd1c2cc2cfe77ccc"},
 ]
 
 [package.dependencies]
@@ -8288,13 +8381,13 @@ files = [
 
 [[package]]
 name = "types-pywin32"
-version = "306.0.0.8"
+version = "306.0.0.20240106"
 description = "Typing stubs for pywin32"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "types-pywin32-306.0.0.8.tar.gz", hash = "sha256:d6386feba7d2a86ee66294850d998d5bf7dc1d58f782ba4d3333e53063b259b0"},
-    {file = "types_pywin32-306.0.0.8-py3-none-any.whl", hash = "sha256:406307352c66c4050093099da696ed38993ec8e55f8d0c1a658223f37d9caa3a"},
+    {file = "types-pywin32-306.0.0.20240106.tar.gz", hash = "sha256:827a0787afceb1728afbc031fc9e74ffe758a98eff8d3613446cc0474119e9d5"},
+    {file = "types_pywin32-306.0.0.20240106-py3-none-any.whl", hash = "sha256:421859291662cda4ca3ffa305a57c8719b4b35bdd90260f34ce4e3524682f3cf"},
 ]
 
 [[package]]
@@ -8310,13 +8403,13 @@ files = [
 
 [[package]]
 name = "types-redis"
-version = "4.6.0.11"
+version = "4.6.0.20240106"
 description = "Typing stubs for redis"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "types-redis-4.6.0.11.tar.gz", hash = "sha256:c8cfc84635183deca2db4a528966c5566445fd3713983f0034fb0f5a09e0890d"},
-    {file = "types_redis-4.6.0.11-py3-none-any.whl", hash = "sha256:94fc61118601fb4f79206b33b9f4344acff7ca1d7bba67834987fb0efcf6a770"},
+    {file = "types-redis-4.6.0.20240106.tar.gz", hash = "sha256:2b2fa3a78f84559616242d23f86de5f4130dfd6c3b83fb2d8ce3329e503f756e"},
+    {file = "types_redis-4.6.0.20240106-py3-none-any.whl", hash = "sha256:912de6507b631934bd225cdac310b04a58def94391003ba83939e5a10e99568d"},
 ]
 
 [package.dependencies]
@@ -8376,13 +8469,13 @@ typing-extensions = ">=3.7.4"
 
 [[package]]
 name = "tzdata"
-version = "2023.3"
+version = "2023.4"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
 files = [
-    {file = "tzdata-2023.3-py2.py3-none-any.whl", hash = "sha256:7e65763eef3120314099b6939b5546db7adce1e7d6f2e179e3df563c70511eda"},
-    {file = "tzdata-2023.3.tar.gz", hash = "sha256:11ef1e08e54acb0d4f95bdb1be05da659673de4acbd21bf9c69e94cc5e907a3a"},
+    {file = "tzdata-2023.4-py2.py3-none-any.whl", hash = "sha256:aa3ace4329eeacda5b7beb7ea08ece826c28d761cda36e747cfbf97996d39bf3"},
+    {file = "tzdata-2023.4.tar.gz", hash = "sha256:dd54c94f294765522c77399649b4fefd95522479a664a0cec87f41bebc6148c9"},
 ]
 
 [[package]]
@@ -8404,13 +8497,13 @@ devenv = ["check-manifest", "pytest (>=4.3)", "pytest-cov", "pytest-mock (>=3.3)
 
 [[package]]
 name = "unstructured"
-version = "0.11.6"
+version = "0.11.8"
 description = "A library that prepares raw documents for downstream ML tasks."
 optional = false
 python-versions = ">=3.7.0"
 files = [
-    {file = "unstructured-0.11.6-py3-none-any.whl", hash = "sha256:f3e95dd82574bd1e082e2f65bcbc83664928488a426e1ff1c8b1b04b76852dfc"},
-    {file = "unstructured-0.11.6.tar.gz", hash = "sha256:f748e1b15010f63b178af8117c17f69ced7a14b0b18edda0bb9199ff84a22a2f"},
+    {file = "unstructured-0.11.8-py3-none-any.whl", hash = "sha256:71e8d135a723d8c692a0a43683e3dca4a9b3e0fd8a1d255f57689591ed3860c0"},
+    {file = "unstructured-0.11.8.tar.gz", hash = "sha256:dba8b2d54fdc781acef6c9590510e1f55e7467abaaf00403031331903d415f07"},
 ]
 
 [package.dependencies]
@@ -8475,6 +8568,7 @@ pdf = ["onnx", "pdf2image", "pdfminer.six", "pikepdf", "pypdf", "unstructured-in
 pinecone = ["pinecone-client"]
 ppt = ["python-pptx (<=0.6.23)"]
 pptx = ["python-pptx (<=0.6.23)"]
+qdrant = ["qdrant-client"]
 reddit = ["praw"]
 rst = ["pypandoc"]
 rtf = ["pypandoc"]
@@ -8737,13 +8831,13 @@ anyio = ">=3.0.0"
 
 [[package]]
 name = "wcwidth"
-version = "0.2.12"
+version = "0.2.13"
 description = "Measures the displayed width of unicode strings in a terminal"
 optional = false
 python-versions = "*"
 files = [
-    {file = "wcwidth-0.2.12-py2.py3-none-any.whl", hash = "sha256:f26ec43d96c8cbfed76a5075dac87680124fa84e0855195a6184da9c187f133c"},
-    {file = "wcwidth-0.2.12.tar.gz", hash = "sha256:f01c104efdf57971bcb756f054dd58ddec5204dd15fa31d6503ea57947d97c02"},
+    {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"},
+    {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"},
 ]
 
 [[package]]
@@ -9184,4 +9278,4 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<3.11"
-content-hash = "298c4c74d1e9ed37405bfbeaefb8ecd5d766d970a4e16fb37cbbccbab79573ce"
+content-hash = "380c300a4aee763dbd4cf33c3c0cab3509c69af9605f98622a6429d884c8d3af"
diff --git a/pyproject.toml b/pyproject.toml
index 0d068173a..c4da330d4 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -104,7 +104,9 @@ qianfan = "0.2.0"
 pgvector = "^0.2.3"
 pyautogen = "^0.2.0"
 langchain-google-genai = "^0.0.2"
+elasticsearch = "^8.11.1"
 pytube = "^15.0.0"
+llama-index = "^0.9.24"
 
 [tool.poetry.group.dev.dependencies]
 pytest-asyncio = "^0.23.1"
diff --git a/src/backend/langflow/components/llms/AmazonBedrock.py b/src/backend/langflow/components/llms/AmazonBedrock.py
index 306f84e30..5b931bb94 100644
--- a/src/backend/langflow/components/llms/AmazonBedrock.py
+++ b/src/backend/langflow/components/llms/AmazonBedrock.py
@@ -2,7 +2,6 @@ from typing import Optional
 
 from langchain.llms.base import BaseLLM
 from langchain.llms.bedrock import Bedrock
-
 from langflow import CustomComponent
 
 
@@ -44,7 +43,7 @@ class AmazonBedrockComponent(CustomComponent):
         model_kwargs: Optional[dict] = None,
         endpoint_url: Optional[str] = None,
         streaming: bool = False,
-        cache: bool | None = None,
+        cache: Optional[bool] = None,
     ) -> BaseLLM:
         try:
             output = Bedrock(
diff --git a/src/backend/langflow/config.yaml b/src/backend/langflow/config.yaml
index a30637e0d..816f4738c 100644
--- a/src/backend/langflow/config.yaml
+++ b/src/backend/langflow/config.yaml
@@ -274,6 +274,8 @@ vectorstores:
     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"
+  ElasticsearchStore:
+    documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/elasticsearch"
   SupabaseVectorStore:
     documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/supabase"
   MongoDBAtlasVectorSearch:
diff --git a/src/backend/langflow/interface/initialize/vector_store.py b/src/backend/langflow/interface/initialize/vector_store.py
index 0b5ade7c8..a0adf85e3 100644
--- a/src/backend/langflow/interface/initialize/vector_store.py
+++ b/src/backend/langflow/interface/initialize/vector_store.py
@@ -1,6 +1,7 @@
 from typing import Any, Callable, Dict, Type
 from langchain.vectorstores import (
     Pinecone,
+    ElasticsearchStore,
     Qdrant,
     Chroma,
     FAISS,
@@ -226,11 +227,34 @@ def initialize_qdrant(class_object: Type[Qdrant], params: dict):
     return class_object.from_documents(**params)
 
 
+def initialize_elasticsearch(class_object: Type[ElasticsearchStore], params: dict):
+    """Initialize elastic and return the class object"""
+    if "index_name" not in params:
+        raise ValueError("Elasticsearch Index must be provided in the params")
+    if "es_url" not in params:
+        raise ValueError("Elasticsearch URL must be provided in the params")
+    if not docs_in_params(params):
+        existing_index_params = {
+            "embedding": params.pop("embedding"),
+        }
+        if "index_name" in params:
+            existing_index_params["index_name"] = params.pop("index_name")
+        if "es_url" in params:
+            existing_index_params["es_url"] = params.pop("es_url")
+
+        return class_object.from_existing_index(**existing_index_params)
+    # If there are docs in the params, create a new index
+    if "texts" in params:
+        params["documents"] = params.pop("texts")
+    return class_object.from_documents(**params)
+
+
 vecstore_initializer: Dict[str, Callable[[Type[Any], dict], Any]] = {
     "Pinecone": initialize_pinecone,
     "Chroma": initialize_chroma,
     "Qdrant": initialize_qdrant,
     "Weaviate": initialize_weaviate,
+    "ElasticsearchStore": initialize_elasticsearch,
     "FAISS": initialize_faiss,
     "SupabaseVectorStore": initialize_supabase,
     "MongoDBAtlasVectorSearch": initialize_mongodb,
diff --git a/src/backend/langflow/services/chat/service.py b/src/backend/langflow/services/chat/service.py
index 825279ac3..91fe98845 100644
--- a/src/backend/langflow/services/chat/service.py
+++ b/src/backend/langflow/services/chat/service.py
@@ -5,14 +5,15 @@ from typing import Any, Dict, List
 
 import orjson
 from fastapi import WebSocket, status
+from loguru import logger
+from starlette.websockets import WebSocketState
+
 from langflow.api.v1.schemas import ChatMessage, ChatResponse, FileResponse
 from langflow.interface.utils import pil_to_base64
 from langflow.services import ServiceType, service_manager
 from langflow.services.base import Service
 from langflow.services.chat.cache import Subject
 from langflow.services.chat.utils import process_graph
-from loguru import logger
-from starlette.websockets import WebSocketState
 
 from .cache import cache_service
 
@@ -117,7 +118,7 @@ class ChatService(Service):
                 if "after sending" in str(exc):
                     logger.error(f"Error closing connection: {exc}")
 
-    async def process_message(self, client_id: str, payload: Dict, langchain_object: Any):
+    async def process_message(self, client_id: str, payload: Dict, build_result: Any):
         # Process the graph data and chat message
         chat_inputs = payload.pop("inputs", {})
         chatkey = payload.pop("chatKey", None)
@@ -134,12 +135,12 @@ class ChatService(Service):
             logger.debug("Generating result and thought")
 
             result, intermediate_steps, raw_output = await process_graph(
-                langchain_object=langchain_object,
+                build_result=build_result,
                 chat_inputs=chat_inputs,
                 client_id=client_id,
                 session_id=self.connection_ids[client_id],
             )
-            self.set_cache(client_id, langchain_object)
+            self.set_cache(client_id, build_result)
         except Exception as e:
             # Log stack trace
             logger.exception(e)
@@ -205,8 +206,8 @@ class ChatService(Service):
                     continue
 
                 with self.chat_cache.set_client_id(client_id):
-                    if langchain_object := self.cache_service.get(client_id).get("result"):
-                        await self.process_message(client_id, payload, langchain_object)
+                    if build_result := self.cache_service.get(client_id).get("result"):
+                        await self.process_message(client_id, payload, build_result)
 
                     else:
                         raise RuntimeError(f"Could not find a build result for client_id {client_id}")
diff --git a/src/backend/langflow/services/chat/utils.py b/src/backend/langflow/services/chat/utils.py
index 7970e5d89..85e6cdcd5 100644
--- a/src/backend/langflow/services/chat/utils.py
+++ b/src/backend/langflow/services/chat/utils.py
@@ -1,20 +1,28 @@
+from typing import Any
+
+from langchain.agents import AgentExecutor
+from langchain.chains.base import Chain
+from langchain_core.runnables import Runnable
 from loguru import logger
 
 from langflow.api.v1.schemas import ChatMessage
 from langflow.interface.utils import try_setting_streaming_options
 from langflow.processing.base import get_result_and_steps
+from langflow.utils.chat import ChatDefinition
+
+LANGCHAIN_RUNNABLES = (Chain, Runnable, AgentExecutor)
 
 
 async def process_graph(
-    langchain_object,
+    build_result,
     chat_inputs: ChatMessage,
     client_id: str,
     session_id: str,
 ):
-    langchain_object = try_setting_streaming_options(langchain_object)
+    build_result = try_setting_streaming_options(build_result)
     logger.debug("Loaded langchain object")
 
-    if langchain_object is None:
+    if build_result is None:
         # Raise user facing error
         raise ValueError("There was an error loading the langchain_object. Please, check all the nodes and try again.")
 
@@ -25,15 +33,36 @@ async def process_graph(
             chat_inputs.message = {}
 
         logger.debug("Generating result and thought")
-        result, intermediate_steps, raw_output = await get_result_and_steps(
-            langchain_object,
-            chat_inputs.message,
-            client_id=client_id,
-            session_id=session_id,
-        )
+        if isinstance(build_result, LANGCHAIN_RUNNABLES):
+            result, intermediate_steps, raw_output = await get_result_and_steps(
+                build_result,
+                chat_inputs.message,
+                client_id=client_id,
+                session_id=session_id,
+            )
+        elif isinstance(build_result, ChatDefinition):
+            raw_output = await run_build_result(
+                build_result,
+                chat_inputs,
+                client_id=client_id,
+                session_id=session_id,
+            )
+            if isinstance(raw_output, dict):
+                if not build_result.output_key:
+                    raise ValueError("No output key provided to ChatDefinition when returning a dict.")
+                result = raw_output[build_result.output_key]
+            else:
+                result = raw_output
+            intermediate_steps = []
+        else:
+            raise TypeError(f"Unknown type {type(build_result)}")
         logger.debug("Generated result and intermediate_steps")
         return result, intermediate_steps, raw_output
     except Exception as e:
         # Log stack trace
         logger.exception(e)
         raise e
+
+
+async def run_build_result(build_result: Any, chat_inputs: ChatMessage, client_id: str, session_id: str):
+    return build_result(inputs=chat_inputs.message)
diff --git a/src/backend/langflow/template/frontend_node/vectorstores.py b/src/backend/langflow/template/frontend_node/vectorstores.py
index 170c3c766..1f49f76a9 100644
--- a/src/backend/langflow/template/frontend_node/vectorstores.py
+++ b/src/backend/langflow/template/frontend_node/vectorstores.py
@@ -11,6 +11,7 @@ BASIC_FIELDS = [
     "persist_directory",
     "persist",
     "weaviate_url",
+    "es_url",
     "index_name",
     "namespace",
     "folder_path",
@@ -170,6 +171,33 @@ class VectorStoreFrontendNode(FrontendNode):
                 value="",
             )
             extra_fields.extend((extra_field, extra_field2))
+
+        elif self.template.type_name == "ElasticsearchStore":
+            # add elastic and elastic credentials
+            extra_field = TemplateField(
+                name="es_url",
+                field_type="str",
+                required=True,
+                placeholder="http://localhost:9200",
+                show=True,
+                advanced=False,
+                multiline=False,
+                value="http://localhost:9200",
+                display_name="Elasticsearch URL",
+            )
+            extra_field2 = TemplateField(
+                name="index_name",
+                field_type="str",
+                required=True,
+                placeholder="test-index",
+                show=True,
+                advanced=False,
+                multiline=False,
+                value="test-index",
+                display_name="Index Name",
+            )
+            extra_fields.extend((extra_field, extra_field2))
+
         elif self.template.type_name == "FAISS":
             extra_field = TemplateField(
                 name="folder_path",
diff --git a/src/backend/langflow/utils/chat.py b/src/backend/langflow/utils/chat.py
new file mode 100644
index 000000000..e1621bdab
--- /dev/null
+++ b/src/backend/langflow/utils/chat.py
@@ -0,0 +1,34 @@
+from typing import Any, Callable, Optional, Union
+
+from langchain_core.prompts import PromptTemplate as LCPromptTemplate
+from langflow.utils.prompt import GenericPromptTemplate
+from llama_index.prompts import PromptTemplate as LIPromptTemplate
+
+PromptTemplate = Union[LCPromptTemplate, LIPromptTemplate]
+
+
+class ChatDefinition:
+    def __init__(
+        self,
+        func: Callable,
+        inputs: list[str],
+        output_key: Optional[str] = None,
+        prompt_template: Optional[PromptTemplate] = None,
+    ):
+        self.func = func
+        self.input_keys = inputs
+        self.output_key = output_key
+        self.prompt_template = prompt_template
+
+    @classmethod
+    def from_prompt_template(cls, prompt_template: PromptTemplate, func: Callable, output_key: Optional[str] = None):
+        prompt = GenericPromptTemplate(prompt_template)
+        return cls(
+            func=func,
+            inputs=prompt.input_keys,
+            output_key=output_key,
+            prompt_template=prompt_template,
+        )
+
+    def __call__(self, inputs: dict, callbacks: Optional[Any] = None) -> dict:
+        return self.func(inputs, callbacks)
diff --git a/src/backend/langflow/utils/prompt.py b/src/backend/langflow/utils/prompt.py
new file mode 100644
index 000000000..871193f45
--- /dev/null
+++ b/src/backend/langflow/utils/prompt.py
@@ -0,0 +1,58 @@
+from typing import Any, Union
+
+from langchain_core.prompts import PromptTemplate as LCPromptTemplate
+from llama_index.prompts import PromptTemplate as LIPromptTemplate
+
+PromptTemplateTypes = Union[LCPromptTemplate, LIPromptTemplate]
+
+
+class GenericPromptTemplate:
+    def __init__(self, prompt_template: PromptTemplateTypes):
+        object.__setattr__(self, "prompt_template", prompt_template)
+
+    @property
+    def input_keys(self):
+        prompt_template = object.__getattribute__(self, "prompt_template")
+        if isinstance(prompt_template, LCPromptTemplate):
+            return prompt_template.input_variables
+        elif isinstance(prompt_template, LIPromptTemplate):
+            return prompt_template.template_vars
+        else:
+            raise TypeError(f"Unknown prompt template type {type(prompt_template)}")
+
+    def to_lc_prompt(self):
+        prompt_template = object.__getattribute__(self, "prompt_template")
+        if isinstance(prompt_template, LCPromptTemplate):
+            return prompt_template
+        elif isinstance(prompt_template, LIPromptTemplate):
+            return LCPromptTemplate.from_template(prompt_template.get_template())
+        else:
+            raise TypeError(f"Unknown prompt template type {type(prompt_template)}")
+
+    def to_li_prompt(self):
+        prompt_template = object.__getattribute__(self, "prompt_template")
+        if isinstance(prompt_template, LIPromptTemplate):
+            return prompt_template
+        elif isinstance(prompt_template, LCPromptTemplate):
+            return LIPromptTemplate(template=prompt_template.template)
+        else:
+            raise TypeError(f"Unknown prompt template type {type(prompt_template)}")
+
+    def __or__(self, other):
+        prompt_template = object.__getattribute__(self, "prompt_template")
+        if isinstance(prompt_template, LIPromptTemplate):
+            return self.to_lc_prompt() | other
+        else:
+            raise TypeError(f"Unknown prompt template type {type(other)}")
+
+    def __getattribute__(self, name: str) -> Any:
+        if name in {
+            "input_keys",
+            "to_lc_prompt",
+            "to_li_prompt",
+            "__or__",
+            "prompt_template",
+        }:
+            return object.__getattribute__(self, name)
+        prompt_template = object.__getattribute__(self, "prompt_template")
+        return getattr(prompt_template, name)
diff --git a/src/frontend/src/icons/ElasticsearchStore/ElasticsearchLogo.jsx b/src/frontend/src/icons/ElasticsearchStore/ElasticsearchLogo.jsx
new file mode 100644
index 000000000..bbf7c040a
--- /dev/null
+++ b/src/frontend/src/icons/ElasticsearchStore/ElasticsearchLogo.jsx
@@ -0,0 +1,19 @@
+const SvgElasticsearchLogo = (props) => (
+  <svg
+    xmlns="http://www.w3.org/2000/svg"
+    width="24"
+    height="24"
+    fill="none"
+    stroke="currentColor"
+    strokeLinecap="round"
+    strokeLinejoin="round"
+    strokeWidth="2"
+    className="icon icon-tabler icon-tabler-brand-elastic"
+    viewBox="0 0 24 24"
+  >
+    <path stroke="none" d="M0 0h24v24H0z"></path>
+    <path d="M14 2a5 5 0 015 5c0 .712-.232 1.387-.5 2 1.894.042 3.5 1.595 3.5 3.5 0 1.869-1.656 3.4-3.5 3.5.333.625.5 1.125.5 1.5a2.5 2.5 0 01-2.5 2.5c-.787 0-1.542-.432-2-1-.786 1.73-2.476 3-4.5 3a5 5 0 01-4.583-7 3.5 3.5 0 01-.11-6.992h.195a2.5 2.5 0 012-4c.787 0 1.542.432 2 1 .786-1.73 2.476-3 4.5-3zM8.5 9l-3-1"></path>
+    <path d="M9.5 5l-1 4 1 2 5 2 4-4M18.499 16l-3-.5-1-2.5M14.5 19l1-3.5M5.417 15L9.5 11"></path>
+  </svg>
+);
+export default SvgElasticsearchLogo;
diff --git a/src/frontend/src/icons/ElasticsearchStore/ElasticsearchLogo.svg b/src/frontend/src/icons/ElasticsearchStore/ElasticsearchLogo.svg
new file mode 100644
index 000000000..39b7bf5fd
--- /dev/null
+++ b/src/frontend/src/icons/ElasticsearchStore/ElasticsearchLogo.svg
@@ -0,0 +1,9 @@
+<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-brand-elastic" width="24" height="24" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round">
+  <path stroke="none" d="M0 0h24v24H0z" fill="none" />
+  <path d="M14 2a5 5 0 0 1 5 5c0 .712 -.232 1.387 -.5 2c1.894 .042 3.5 1.595 3.5 3.5c0 1.869 -1.656 3.4 -3.5 3.5c.333 .625 .5 1.125 .5 1.5a2.5 2.5 0 0 1 -2.5 2.5c-.787 0 -1.542 -.432 -2 -1c-.786 1.73 -2.476 3 -4.5 3a5 5 0 0 1 -4.583 -7a3.5 3.5 0 0 1 -.11 -6.992l.195 0a2.5 2.5 0 0 1 2 -4c.787 0 1.542 .432 2 1c.786 -1.73 2.476 -3 4.5 -3z" />
+  <path d="M8.5 9l-3 -1" />
+  <path d="M9.5 5l-1 4l1 2l5 2l4 -4" />
+  <path d="M18.499 16l-3 -.5l-1 -2.5" />
+  <path d="M14.5 19l1 -3.5" />
+  <path d="M5.417 15l4.083 -4" />
+</svg>
\ No newline at end of file
diff --git a/src/frontend/src/icons/ElasticsearchStore/index.tsx b/src/frontend/src/icons/ElasticsearchStore/index.tsx
new file mode 100644
index 000000000..12f2b95d7
--- /dev/null
+++ b/src/frontend/src/icons/ElasticsearchStore/index.tsx
@@ -0,0 +1,9 @@
+import React, { forwardRef } from "react";
+import SvgElasticsearchLogo from "./ElasticsearchLogo";
+
+export const ElasticsearchIcon = forwardRef<
+  SVGSVGElement,
+  React.PropsWithChildren<{}>
+>((props, ref) => {
+  return <SvgElasticsearchLogo ref={ref} {...props} />;
+});
diff --git a/src/frontend/src/utils/styleUtils.ts b/src/frontend/src/utils/styleUtils.ts
index de71f11f3..82ff5fbf3 100644
--- a/src/frontend/src/utils/styleUtils.ts
+++ b/src/frontend/src/utils/styleUtils.ts
@@ -111,6 +111,7 @@ import { AnthropicIcon } from "../icons/Anthropic";
 import { BingIcon } from "../icons/Bing";
 import { ChromaIcon } from "../icons/ChromaIcon";
 import { CohereIcon } from "../icons/Cohere";
+import { ElasticsearchIcon } from "../icons/ElasticsearchStore";
 import { EvernoteIcon } from "../icons/Evernote";
 import { FBIcon } from "../icons/FacebookMessenger";
 import { GitBookIcon } from "../icons/GitBook";
@@ -256,6 +257,7 @@ export const nodeIconsLucide: iconsType = {
   OpenAIEmbeddings: OpenAiIcon,
   Pinecone: PineconeIcon,
   Qdrant: QDrantIcon,
+  ElasticsearchStore: ElasticsearchIcon,
   Weaviate: WeaviateIcon,
   Searx: SearxIcon,
   SlackDirectoryLoader: SvgSlackIcon,
diff --git a/tests/test_endpoints.py b/tests/test_endpoints.py
index 2e2a65b64..338224004 100644
--- a/tests/test_endpoints.py
+++ b/tests/test_endpoints.py
@@ -578,4 +578,4 @@ def test_async_task_processing_vector_store(client, added_vector_store, created_
     # Validate that the task completed successfully and the result is as expected
     assert "result" in task_status_json, task_status_json
     assert "output" in task_status_json["result"], task_status_json["result"]
-    assert "Langflow" in task_status_json["result"]["output"], task_status_json["result"]
\ No newline at end of file
+    assert "Langflow" in task_status_json["result"]["output"], task_status_json["result"]