diff --git a/docs/docs/guidelines/custom-component.mdx b/docs/docs/guidelines/custom-component.mdx
index e649ef6e9..816f8356b 100644
--- a/docs/docs/guidelines/custom-component.mdx
+++ b/docs/docs/guidelines/custom-component.mdx
@@ -65,7 +65,6 @@ class DocumentProcessor(CustomComponent):
         light: "img/document_processor.png",
     }}
     style={{
-        width: "40%",
         margin: "0 auto",
         display: "flex",
         justifyContent: "center",
diff --git a/poetry.lock b/poetry.lock
index 6658c86e9..4c0fd2a0c 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2,13 +2,13 @@
 
 [[package]]
 name = "aiofiles"
-version = "23.1.0"
+version = "23.2.1"
 description = "File support for asyncio."
 optional = false
-python-versions = ">=3.7,<4.0"
+python-versions = ">=3.7"
 files = [
-    {file = "aiofiles-23.1.0-py3-none-any.whl", hash = "sha256:9312414ae06472eb6f1d163f555e466a23aed1c8f60c30cccf7121dba2e53eb2"},
-    {file = "aiofiles-23.1.0.tar.gz", hash = "sha256:edd247df9a19e0db16534d4baaf536d6609a43e1de5401d7a4c1c148753a1635"},
+    {file = "aiofiles-23.2.1-py3-none-any.whl", hash = "sha256:19297512c647d4b27a2cf7c34caa7e405c0d60b5560618a29a9fe027b18b0107"},
+    {file = "aiofiles-23.2.1.tar.gz", hash = "sha256:84ec2218d8419404abcb9f0c02df3f34c6e0a68ed41072acfb1cef5cbc29051a"},
 ]
 
 [[package]]
@@ -272,13 +272,13 @@ test = ["astroid", "pytest"]
 
 [[package]]
 name = "async-timeout"
-version = "4.0.2"
+version = "4.0.3"
 description = "Timeout context manager for asyncio programs"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 files = [
-    {file = "async-timeout-4.0.2.tar.gz", hash = "sha256:2163e1640ddb52b7a8c80d0a67a08587e5d245cc9c553a74a847056bc2976b15"},
-    {file = "async_timeout-4.0.2-py3-none-any.whl", hash = "sha256:8ca1e4fcf50d07413d66d1a5e416e42cfdf5851c981d679a09851a6853383b3c"},
+    {file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
+    {file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
 ]
 
 [[package]]
@@ -792,13 +792,13 @@ sqlalchemy = ["sqlalchemy (>1.3.21,<2.0)"]
 
 [[package]]
 name = "cohere"
-version = "4.19.2"
+version = "4.19.3"
 description = ""
 optional = false
 python-versions = ">=3.7,<4.0"
 files = [
-    {file = "cohere-4.19.2-py3-none-any.whl", hash = "sha256:0b6a4fe04380a481a8e975ebcc9bb6433febe4d3eb583b6d6e04342a5e998345"},
-    {file = "cohere-4.19.2.tar.gz", hash = "sha256:a0b0fa698b3d3983fb328bb90d68fcf08faaa2268f3772ebc6bfea6ba55acf27"},
+    {file = "cohere-4.19.3-py3-none-any.whl", hash = "sha256:6c98f1e58b93b6316c824385c1d2032ed352280e9efa5695ba98306258abf84f"},
+    {file = "cohere-4.19.3.tar.gz", hash = "sha256:c3aaa716c4da7d7a8ed68705fcdc92f1b1a2260b737cee6bd27af5c347f31496"},
 ]
 
 [package.dependencies]
@@ -1013,29 +1013,29 @@ typing-inspect = ">=0.4.0,<1"
 
 [[package]]
 name = "debugpy"
-version = "1.6.7"
+version = "1.6.7.post1"
 description = "An implementation of the Debug Adapter Protocol for Python"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "debugpy-1.6.7-cp310-cp310-macosx_11_0_x86_64.whl", hash = "sha256:b3e7ac809b991006ad7f857f016fa92014445085711ef111fdc3f74f66144096"},
-    {file = "debugpy-1.6.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e3876611d114a18aafef6383695dfc3f1217c98a9168c1aaf1a02b01ec7d8d1e"},
-    {file = "debugpy-1.6.7-cp310-cp310-win32.whl", hash = "sha256:33edb4afa85c098c24cc361d72ba7c21bb92f501104514d4ffec1fb36e09c01a"},
-    {file = "debugpy-1.6.7-cp310-cp310-win_amd64.whl", hash = "sha256:ed6d5413474e209ba50b1a75b2d9eecf64d41e6e4501977991cdc755dc83ab0f"},
-    {file = "debugpy-1.6.7-cp37-cp37m-macosx_10_15_x86_64.whl", hash = "sha256:38ed626353e7c63f4b11efad659be04c23de2b0d15efff77b60e4740ea685d07"},
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+    {file = "debugpy-1.6.7.post1-cp38-cp38-win32.whl", hash = "sha256:f0851403030f3975d6e2eaa4abf73232ab90b98f041e3c09ba33be2beda43fcf"},
+    {file = "debugpy-1.6.7.post1-cp38-cp38-win_amd64.whl", hash = "sha256:3de5d0f97c425dc49bce4293df6a04494309eedadd2b52c22e58d95107e178d9"},
+    {file = "debugpy-1.6.7.post1-cp39-cp39-macosx_11_0_x86_64.whl", hash = "sha256:38651c3639a4e8bbf0ca7e52d799f6abd07d622a193c406be375da4d510d968d"},
+    {file = "debugpy-1.6.7.post1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:038c51268367c9c935905a90b1c2d2dbfe304037c27ba9d19fe7409f8cdc710c"},
+    {file = "debugpy-1.6.7.post1-cp39-cp39-win32.whl", hash = "sha256:4b9eba71c290852f959d2cf8a03af28afd3ca639ad374d393d53d367f7f685b2"},
+    {file = "debugpy-1.6.7.post1-cp39-cp39-win_amd64.whl", hash = "sha256:973a97ed3b434eab0f792719a484566c35328196540676685c975651266fccf9"},
+    {file = "debugpy-1.6.7.post1-py2.py3-none-any.whl", hash = "sha256:1093a5c541af079c13ac8c70ab8b24d1d35c8cacb676306cf11e57f699c02926"},
+    {file = "debugpy-1.6.7.post1.zip", hash = "sha256:fe87ec0182ef624855d05e6ed7e0b7cb1359d2ffa2a925f8ec2d22e98b75d0ca"},
 ]
 
 [[package]]
@@ -1118,13 +1118,13 @@ files = [
 
 [[package]]
 name = "dnspython"
-version = "2.4.1"
+version = "2.4.2"
 description = "DNS toolkit"
 optional = false
 python-versions = ">=3.8,<4.0"
 files = [
-    {file = "dnspython-2.4.1-py3-none-any.whl", hash = "sha256:5b7488477388b8c0b70a8ce93b227c5603bc7b77f1565afe8e729c36c51447d7"},
-    {file = "dnspython-2.4.1.tar.gz", hash = "sha256:c33971c79af5be968bb897e95c2448e11a645ee84d93b265ce0b7aabe5dfdca8"},
+    {file = "dnspython-2.4.2-py3-none-any.whl", hash = "sha256:57c6fbaaeaaf39c891292012060beb141791735dbb4004798328fc2c467402d8"},
+    {file = "dnspython-2.4.2.tar.gz", hash = "sha256:8dcfae8c7460a2f84b4072e26f1c9f4101ca20c071649cb7c34e8b6a93d58984"},
 ]
 
 [package.extras]
@@ -1697,13 +1697,13 @@ six = "*"
 
 [[package]]
 name = "google-cloud-aiplatform"
-version = "1.29.0"
+version = "1.30.0"
 description = "Vertex AI API client library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-cloud-aiplatform-1.29.0.tar.gz", hash = "sha256:fceabb924d2d26057e3c8c5c2e251929389aa6d553361377bc402781150c0db3"},
-    {file = "google_cloud_aiplatform-1.29.0-py2.py3-none-any.whl", hash = "sha256:cf81c1d93c61ccf3df60a65e3a5a1e465e044059d36b6fc1202b940c46c4c1e1"},
+    {file = "google-cloud-aiplatform-1.30.0.tar.gz", hash = "sha256:26c16069553d177c3277a4371279871c38e31eab1134906cf83ea905e4203ec4"},
+    {file = "google_cloud_aiplatform-1.30.0-py2.py3-none-any.whl", hash = "sha256:8a5d47378babb491cf4737e4f1951289b33b9254bed1e3d8c07be4896cae83ce"},
 ]
 
 [package.dependencies]
@@ -2832,13 +2832,13 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "joblib"
-version = "1.3.1"
+version = "1.3.2"
 description = "Lightweight pipelining with Python functions"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "joblib-1.3.1-py3-none-any.whl", hash = "sha256:89cf0529520e01b3de7ac7b74a8102c90d16d54c64b5dd98cafcd14307fdf915"},
-    {file = "joblib-1.3.1.tar.gz", hash = "sha256:1f937906df65329ba98013dc9692fe22a4c5e4a648112de500508b18a21b41e3"},
+    {file = "joblib-1.3.2-py3-none-any.whl", hash = "sha256:ef4331c65f239985f3f2220ecc87db222f08fd22097a3dd5698f693875f8cbb9"},
+    {file = "joblib-1.3.2.tar.gz", hash = "sha256:92f865e621e17784e7955080b6d042489e3b8e294949cc44c6eac304f59772b1"},
 ]
 
 [[package]]
@@ -2962,12 +2962,12 @@ langchain = ">=0.0.239"
 
 [[package]]
 name = "langchain-serve"
-version = "0.0.59"
+version = "0.0.60"
 description = "Langchain Serve - serve your langchain apps on Jina AI Cloud."
 optional = true
 python-versions = "*"
 files = [
-    {file = "langchain-serve-0.0.59.tar.gz", hash = "sha256:28ff4ba1b640223158413296ac5b9198eac7cbd206d3386855ad00066a9f91d6"},
+    {file = "langchain-serve-0.0.60.tar.gz", hash = "sha256:bfcc2e7c2a3cd3b4cde5ff45043cc9c8d437704941b02d166185d8334a120561"},
 ]
 
 [package.dependencies]
@@ -2987,13 +2987,13 @@ test = ["psutil", "pytest", "pytest-asyncio"]
 
 [[package]]
 name = "langsmith"
-version = "0.0.19"
+version = "0.0.21"
 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-0.0.19-py3-none-any.whl", hash = "sha256:ae240030fd0b98e9467fbf19ac6d58a0a4ffcc1db8462625141dae6178e62c68"},
-    {file = "langsmith-0.0.19.tar.gz", hash = "sha256:e91a2cd101456e2f8d6015c9ea371d6556eb6072a1b20d4793479855163ae28f"},
+    {file = "langsmith-0.0.21-py3-none-any.whl", hash = "sha256:a04c6eb3b4fc6205b15a559705f726fd0114ee2b3bd8668a0bd11cf29d5c5992"},
+    {file = "langsmith-0.0.21.tar.gz", hash = "sha256:ec90ddab6beee6c344cf0ed8ae7d68948740cf98e119dd97c571f3190555644e"},
 ]
 
 [package.dependencies]
@@ -3398,6 +3398,20 @@ files = [
     {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
 ]
 
+[[package]]
+name = "metaphor-python"
+version = "0.1.12"
+description = "A Python package for the Metaphor API."
+optional = false
+python-versions = "*"
+files = [
+    {file = "metaphor-python-0.1.12.tar.gz", hash = "sha256:fb3c33326ad1862954d2a77e5d81a6304219314b958283620cef757df331312c"},
+    {file = "metaphor_python-0.1.12-py3-none-any.whl", hash = "sha256:86210ba825c047461221833c6fe3c010651457b2c733804bca4cf0e5eef89f95"},
+]
+
+[package.dependencies]
+requests = "*"
+
 [[package]]
 name = "monotonic"
 version = "1.6"
@@ -3567,37 +3581,33 @@ dill = ">=0.3.7"
 
 [[package]]
 name = "mypy"
-version = "1.4.1"
+version = "1.5.0"
 description = "Optional static typing for Python"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 [package.dependencies]
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 [package.extras]
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 install-types = ["pip"]
-python2 = ["typed-ast (>=1.4.0,<2)"]
 reports = ["lxml"]
 
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+    {file = "regex-2023.8.8.tar.gz", hash = "sha256:fcbdc5f2b0f1cd0f6a56cdb46fe41d2cce1e644e3b68832f3eeebc5fb0f7712e"},
 ]
 
 [[package]]
@@ -6734,33 +6759,33 @@ scipy = ["scipy"]
 
 [[package]]
 name = "tornado"
-version = "6.3.2"
+version = "6.3.3"
 description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
 optional = false
 python-versions = ">= 3.8"
 files = [
-    {file = "tornado-6.3.2-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:c367ab6c0393d71171123ca5515c61ff62fe09024fa6bf299cd1339dc9456829"},
-    {file = "tornado-6.3.2-cp38-abi3-macosx_10_9_x86_64.whl", hash = "sha256:b46a6ab20f5c7c1cb949c72c1994a4585d2eaa0be4853f50a03b5031e964fc7c"},
-    {file = "tornado-6.3.2-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c2de14066c4a38b4ecbbcd55c5cc4b5340eb04f1c5e81da7451ef555859c833f"},
-    {file = "tornado-6.3.2-cp38-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:05615096845cf50a895026f749195bf0b10b8909f9be672f50b0fe69cba368e4"},
-    {file = "tornado-6.3.2-cp38-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5b17b1cf5f8354efa3d37c6e28fdfd9c1c1e5122f2cb56dac121ac61baa47cbe"},
-    {file = "tornado-6.3.2-cp38-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:29e71c847a35f6e10ca3b5c2990a52ce38b233019d8e858b755ea6ce4dcdd19d"},
-    {file = "tornado-6.3.2-cp38-abi3-musllinux_1_1_i686.whl", hash = "sha256:834ae7540ad3a83199a8da8f9f2d383e3c3d5130a328889e4cc991acc81e87a0"},
-    {file = "tornado-6.3.2-cp38-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:6a0848f1aea0d196a7c4f6772197cbe2abc4266f836b0aac76947872cd29b411"},
-    {file = "tornado-6.3.2-cp38-abi3-win32.whl", hash = "sha256:7efcbcc30b7c654eb6a8c9c9da787a851c18f8ccd4a5a3a95b05c7accfa068d2"},
-    {file = "tornado-6.3.2-cp38-abi3-win_amd64.whl", hash = "sha256:0c325e66c8123c606eea33084976c832aa4e766b7dff8aedd7587ea44a604cdf"},
-    {file = "tornado-6.3.2.tar.gz", hash = "sha256:4b927c4f19b71e627b13f3db2324e4ae660527143f9e1f2e2fb404f3a187e2ba"},
+    {file = "tornado-6.3.3-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:502fba735c84450974fec147340016ad928d29f1e91f49be168c0a4c18181e1d"},
+    {file = "tornado-6.3.3-cp38-abi3-macosx_10_9_x86_64.whl", hash = "sha256:805d507b1f588320c26f7f097108eb4023bbaa984d63176d1652e184ba24270a"},
+    {file = "tornado-6.3.3-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1bd19ca6c16882e4d37368e0152f99c099bad93e0950ce55e71daed74045908f"},
+    {file = "tornado-6.3.3-cp38-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7ac51f42808cca9b3613f51ffe2a965c8525cb1b00b7b2d56828b8045354f76a"},
+    {file = "tornado-6.3.3-cp38-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:71a8db65160a3c55d61839b7302a9a400074c9c753040455494e2af74e2501f2"},
+    {file = "tornado-6.3.3-cp38-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:ceb917a50cd35882b57600709dd5421a418c29ddc852da8bcdab1f0db33406b0"},
+    {file = "tornado-6.3.3-cp38-abi3-musllinux_1_1_i686.whl", hash = "sha256:7d01abc57ea0dbb51ddfed477dfe22719d376119844e33c661d873bf9c0e4a16"},
+    {file = "tornado-6.3.3-cp38-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:9dc4444c0defcd3929d5c1eb5706cbe1b116e762ff3e0deca8b715d14bf6ec17"},
+    {file = "tornado-6.3.3-cp38-abi3-win32.whl", hash = "sha256:65ceca9500383fbdf33a98c0087cb975b2ef3bfb874cb35b8de8740cf7f41bd3"},
+    {file = "tornado-6.3.3-cp38-abi3-win_amd64.whl", hash = "sha256:22d3c2fa10b5793da13c807e6fc38ff49a4f6e1e3868b0a6f4164768bb8e20f5"},
+    {file = "tornado-6.3.3.tar.gz", hash = "sha256:e7d8db41c0181c80d76c982aacc442c0783a2c54d6400fe028954201a2e032fe"},
 ]
 
 [[package]]
 name = "tqdm"
-version = "4.65.1"
+version = "4.66.1"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "tqdm-4.65.1-py3-none-any.whl", hash = "sha256:16181c62ad2c6f8f6f29876e66322faad1c7fd3cc70aa9cc25ff63e50d1da031"},
-    {file = "tqdm-4.65.1.tar.gz", hash = "sha256:2cb0075cc5269f8edac40bdeb757cc36ab5b6648caf014822b67e1a49fba141d"},
+    {file = "tqdm-4.66.1-py3-none-any.whl", hash = "sha256:d302b3c5b53d47bce91fea46679d9c3c6508cf6332229aa1e7d8653723793386"},
+    {file = "tqdm-4.66.1.tar.gz", hash = "sha256:d88e651f9db8d8551a62556d3cff9e3034274ca5d66e93197cf2490e2dcb69c7"},
 ]
 
 [package.dependencies]
@@ -7176,20 +7201,15 @@ test = ["Cython (>=0.29.32,<0.30.0)", "aiohttp", "flake8 (>=3.9.2,<3.10.0)", "my
 
 [[package]]
 name = "validators"
-version = "0.20.0"
-description = "Python Data Validation for Humans™."
+version = "0.21.0"
+description = "Python Data Validation for Humans™"
 optional = false
-python-versions = ">=3.4"
+python-versions = ">=3.8,<4.0"
 files = [
-    {file = "validators-0.20.0.tar.gz", hash = "sha256:24148ce4e64100a2d5e267233e23e7afeb55316b47d30faae7eb6e7292bc226a"},
+    {file = "validators-0.21.0-py3-none-any.whl", hash = "sha256:3470db6f2384c49727ee319afa2e97aec3f8fad736faa6067e0fd7f9eaf2c551"},
+    {file = "validators-0.21.0.tar.gz", hash = "sha256:245b98ab778ed9352a7269c6a8f6c2a839bed5b2a7e3e60273ce399d247dd4b3"},
 ]
 
-[package.dependencies]
-decorator = ">=3.4.0"
-
-[package.extras]
-test = ["flake8 (>=2.4.0)", "isort (>=4.2.2)", "pytest (>=2.2.3)"]
-
 [[package]]
 name = "watchfiles"
 version = "0.19.0"
@@ -7681,4 +7701,4 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<3.11"
-content-hash = "0549d60fd69bb53ccdc466b76e05647ceb5502dcd01f6040e82eb9d7d9050292"
+content-hash = "18156a4c5ecf05bf430bf2a00da1771c6e16e6408cfb05fe36fc3ff0ad29e213"
diff --git a/pyproject.toml b/pyproject.toml
index 34763d2e8..a3b7f9a28 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langflow"
-version = "0.4.3"
+version = "0.4.7"
 description = "A Python package with a built-in web application"
 authors = ["Logspace <contact@logspace.ai>"]
 maintainers = [
@@ -81,6 +81,7 @@ alembic = "^1.11.2"
 passlib = "^1.7.4"
 bcrypt = "^4.0.1"
 python-jose = "^3.3.0"
+metaphor-python = "^0.1.11"
 
 [tool.poetry.group.dev.dependencies]
 black = "^23.1.0"
diff --git a/src/backend/langflow/components/chains/prompt_runner.py b/src/backend/langflow/components/chains/PromptRunner.py
similarity index 100%
rename from src/backend/langflow/components/chains/prompt_runner.py
rename to src/backend/langflow/components/chains/PromptRunner.py
diff --git a/src/backend/langflow/components/toolkits/Metaphor.py b/src/backend/langflow/components/toolkits/Metaphor.py
new file mode 100644
index 000000000..6f43d24b4
--- /dev/null
+++ b/src/backend/langflow/components/toolkits/Metaphor.py
@@ -0,0 +1,56 @@
+from typing import List, Union
+from langflow import CustomComponent
+
+from metaphor_python import Metaphor  # type: ignore
+from langchain.tools import Tool
+from langchain.agents import tool
+from langchain.agents.agent_toolkits.base import BaseToolkit
+
+
+class MetaphorToolkit(CustomComponent):
+    display_name: str = "Metaphor"
+    description: str = "Metaphor Toolkit"
+    documentation = (
+        "https://python.langchain.com/docs/integrations/tools/metaphor_search"
+    )
+    beta = True
+    # api key should be password = True
+    field_config = {
+        "metaphor_api_key": {"display_name": "Metaphor API Key", "password": True},
+        "code": {"advanced": True},
+    }
+
+    def build(
+        self,
+        metaphor_api_key: str,
+        use_autoprompt: bool = True,
+        search_num_results: int = 5,
+        similar_num_results: int = 5,
+    ) -> Union[Tool, BaseToolkit]:
+        # If documents, then we need to create a Vectara instance using .from_documents
+        client = Metaphor(api_key=metaphor_api_key)
+
+        @tool
+        def search(query: str):
+            """Call search engine with a query."""
+            return client.search(
+                query, use_autoprompt=use_autoprompt, num_results=search_num_results
+            )
+
+        @tool
+        def get_contents(ids: List[str]):
+            """Get contents of a webpage.
+
+            The ids passed in should be a list of ids as fetched from `search`.
+            """
+            return client.get_contents(ids)
+
+        @tool
+        def find_similar(url: str):
+            """Get search results similar to a given URL.
+
+            The url passed in should be a URL returned from `search`
+            """
+            return client.find_similar(url, num_results=similar_num_results)
+
+        return [search, get_contents, find_similar]  # type: ignore
diff --git a/src/backend/langflow/components/toolkits/__init__.py b/src/backend/langflow/components/toolkits/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/src/backend/langflow/components/vectorstores/Vectara.py b/src/backend/langflow/components/vectorstores/Vectara.py
new file mode 100644
index 000000000..6edc69822
--- /dev/null
+++ b/src/backend/langflow/components/vectorstores/Vectara.py
@@ -0,0 +1,50 @@
+from typing import Optional, Union
+from langflow import CustomComponent
+
+from langchain.vectorstores import Vectara
+from langchain.schema import Document
+from langchain.vectorstores.base import VectorStore
+from langchain.schema import BaseRetriever
+from langchain.embeddings.base import Embeddings
+
+
+class VectaraComponent(CustomComponent):
+    display_name: str = "Vectara"
+    description: str = "Implementation of Vector Store using Vectara"
+    documentation = (
+        "https://python.langchain.com/docs/integrations/vectorstores/vectara"
+    )
+    beta = True
+    # api key should be password = True
+    field_config = {
+        "vectara_customer_id": {"display_name": "Vectara Customer ID"},
+        "vectara_corpus_id": {"display_name": "Vectara Corpus ID"},
+        "vectara_api_key": {"display_name": "Vectara API Key", "password": True},
+        "code": {"show": False},
+        "documents": {"display_name": "Documents"},
+        "embedding": {"display_name": "Embedding"},
+    }
+
+    def build(
+        self,
+        vectara_customer_id: str,
+        vectara_corpus_id: str,
+        vectara_api_key: str,
+        embedding: Optional[Embeddings] = None,
+        documents: Optional[Document] = None,
+    ) -> Union[VectorStore, BaseRetriever]:
+        # If documents, then we need to create a Vectara instance using .from_documents
+        if documents is not None and embedding is not None:
+            return Vectara.from_documents(
+                documents=documents,  # type: ignore
+                vectara_customer_id=vectara_customer_id,
+                vectara_corpus_id=vectara_corpus_id,
+                vectara_api_key=vectara_api_key,
+                embedding=embedding,
+            )
+
+        return Vectara(
+            vectara_customer_id=vectara_customer_id,
+            vectara_corpus_id=vectara_corpus_id,
+            vectara_api_key=vectara_api_key,
+        )
diff --git a/src/backend/langflow/components/vectorstores/__init__.py b/src/backend/langflow/components/vectorstores/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/src/backend/langflow/interface/custom/component.py b/src/backend/langflow/interface/custom/component.py
index d122eb6da..06db5bd46 100644
--- a/src/backend/langflow/interface/custom/component.py
+++ b/src/backend/langflow/interface/custom/component.py
@@ -66,6 +66,9 @@ class Component(BaseModel):
                 elif "beta" in item_name:
                     template_config["beta"] = ast.literal_eval(item_value)
 
+                elif "documentation" in item_name:
+                    template_config["documentation"] = ast.literal_eval(item_value)
+
         return template_config
 
     def build(self, *args: Any, **kwargs: Any) -> Any:
diff --git a/src/backend/langflow/interface/custom/custom_component.py b/src/backend/langflow/interface/custom/custom_component.py
index 5388f40d8..4b3b11ed0 100644
--- a/src/backend/langflow/interface/custom/custom_component.py
+++ b/src/backend/langflow/interface/custom/custom_component.py
@@ -50,7 +50,9 @@ class CustomComponent(Component, extra=Extra.allow):
         reader = DirectoryReader("", False)
 
         for type_hint in TYPE_HINT_LIST:
-            if reader.is_type_hint_used_but_not_imported(type_hint, code):
+            if reader._is_type_hint_used_in_args(
+                "Optional", code
+            ) and not reader._is_type_hint_imported("Optional", code):
                 error_detail = {
                     "error": "Type hint Error",
                     "traceback": f"Type hint '{type_hint}' is used but not imported in the code.",
@@ -93,9 +95,9 @@ class CustomComponent(Component, extra=Extra.allow):
         return build_method["args"]
 
     @property
-    def get_function_entrypoint_return_type(self) -> str:
+    def get_function_entrypoint_return_type(self) -> List[str]:
         if not self.code:
-            return ""
+            return []
         tree = self.get_code_tree(self.code)
 
         component_classes = [
@@ -104,7 +106,7 @@ class CustomComponent(Component, extra=Extra.allow):
             if self.code_class_base_inheritance in cls["bases"]
         ]
         if not component_classes:
-            return ""
+            return []
 
         # Assume the first Component class is the one we're interested in
         component_class = component_classes[0]
@@ -115,11 +117,21 @@ class CustomComponent(Component, extra=Extra.allow):
         ]
 
         if not build_methods:
-            return ""
+            return []
 
         build_method = build_methods[0]
+        return_type = build_method["return_type"]
+        if not return_type:
+            return []
+        # If the return type is not a Union, then we just return it as a list
+        if "Union" not in return_type:
+            return [return_type] if return_type in self.return_type_valid_list else []
 
-        return build_method["return_type"]
+        # If the return type is a Union, then we need to parse it
+        return_type = return_type.replace("Union", "").replace("[", "").replace("]", "")
+        return_type = return_type.split(",")
+        return_type = [item.strip() for item in return_type]
+        return [item for item in return_type if item in self.return_type_valid_list]
 
     @property
     def get_main_class_name(self):
diff --git a/src/backend/langflow/interface/custom/directory_reader.py b/src/backend/langflow/interface/custom/directory_reader.py
index 57bb3ca95..7bff7b5f5 100644
--- a/src/backend/langflow/interface/custom/directory_reader.py
+++ b/src/backend/langflow/interface/custom/directory_reader.py
@@ -152,15 +152,19 @@ class DirectoryReader:
         Check if a specific type hint is used in the
         function definitions within the given code.
         """
-        module = ast.parse(code)
+        try:
+            module = ast.parse(code)
 
-        for node in ast.walk(module):
-            if isinstance(node, ast.FunctionDef):
-                for arg in node.args.args:
-                    if self._is_type_hint_in_arg_annotation(
-                        arg.annotation, type_hint_name
-                    ):
-                        return True
+            for node in ast.walk(module):
+                if isinstance(node, ast.FunctionDef):
+                    for arg in node.args.args:
+                        if self._is_type_hint_in_arg_annotation(
+                            arg.annotation, type_hint_name
+                        ):
+                            return True
+        except SyntaxError:
+            # Returns False if the code is not valid Python
+            return False
         return False
 
     def _is_type_hint_in_arg_annotation(self, annotation, type_hint_name: str) -> bool:
@@ -204,8 +208,13 @@ class DirectoryReader:
             return False, "Syntax error"
         elif not self.validate_build(file_content):
             return False, "Missing build function"
-        elif self.is_type_hint_used_but_not_imported("Optional", file_content):
-            return False, "Type hint 'Optional' is used but not imported in the code."
+        elif self._is_type_hint_used_in_args(
+            "Optional", file_content
+        ) and not self._is_type_hint_imported("Optional", file_content):
+            return (
+                False,
+                "Type hint 'Optional' is used but not imported in the code.",
+            )
         else:
             if self.compress_code_field:
                 file_content = str(StringCompressor(file_content).compress_string())
diff --git a/src/backend/langflow/interface/initialize/loading.py b/src/backend/langflow/interface/initialize/loading.py
index e72e5091b..dc8188ea5 100644
--- a/src/backend/langflow/interface/initialize/loading.py
+++ b/src/backend/langflow/interface/initialize/loading.py
@@ -116,9 +116,12 @@ def instantiate_based_on_type(class_object, base_type, node_type, params):
 
 
 def instantiate_custom_component(node_type, class_object, params):
-    class_object = get_function_custom(params.pop("code"))
+    # we need to make a copy of the params because we will be
+    # modifying it
+    params_copy = params.copy()
+    class_object = get_function_custom(params_copy.pop("code"))
     custom_component = class_object()
-    built_object = custom_component.build(**params)
+    built_object = custom_component.build(**params_copy)
     return built_object, {"repr": custom_component.custom_repr()}
 
 
diff --git a/src/backend/langflow/interface/initialize/vector_store.py b/src/backend/langflow/interface/initialize/vector_store.py
index 8330d7611..1bc2d73e0 100644
--- a/src/backend/langflow/interface/initialize/vector_store.py
+++ b/src/backend/langflow/interface/initialize/vector_store.py
@@ -130,8 +130,8 @@ def initialize_pinecone(class_object: Type[Pinecone], params: dict):
 
     import pinecone  # type: ignore
 
-    pinecone_api_key = params.get("pinecone_api_key")
-    pinecone_env = params.get("pinecone_env")
+    pinecone_api_key = params.pop("pinecone_api_key")
+    pinecone_env = params.pop("pinecone_env")
 
     if pinecone_api_key is None or pinecone_env is None:
         if os.getenv("PINECONE_API_KEY") is not None:
diff --git a/src/backend/langflow/interface/types.py b/src/backend/langflow/interface/types.py
index 76dc144a0..885e33694 100644
--- a/src/backend/langflow/interface/types.py
+++ b/src/backend/langflow/interface/types.py
@@ -1,6 +1,6 @@
 import ast
 import contextlib
-from typing import Any
+from typing import Any, List
 from langflow.api.utils import merge_nested_dicts_with_renaming
 from langflow.interface.agents.base import agent_creator
 from langflow.interface.chains.base import chain_creator
@@ -199,6 +199,9 @@ def update_attributes(frontend_node, template_config):
     if "beta" in template_config:
         frontend_node["beta"] = template_config["beta"]
 
+    if "documentation" in template_config:
+        frontend_node["documentation"] = template_config["documentation"]
+
 
 def build_field_config(custom_component: CustomComponent):
     """Build the field configuration for a custom component"""
@@ -257,26 +260,27 @@ def get_field_properties(extra_field):
     return field_name, field_type, field_value, field_required
 
 
-def add_base_classes(frontend_node, return_type):
+def add_base_classes(frontend_node, return_types: List[str]):
     """Add base classes to the frontend node"""
-    if return_type not in CUSTOM_COMPONENT_SUPPORTED_TYPES or return_type is None:
-        raise HTTPException(
-            status_code=400,
-            detail={
-                "error": (
-                    "Invalid return type should be one of: "
-                    f"{list(CUSTOM_COMPONENT_SUPPORTED_TYPES.keys())}"
-                ),
-                "traceback": traceback.format_exc(),
-            },
-        )
+    for return_type in return_types:
+        if return_type not in CUSTOM_COMPONENT_SUPPORTED_TYPES or return_type is None:
+            raise HTTPException(
+                status_code=400,
+                detail={
+                    "error": (
+                        "Invalid return type should be one of: "
+                        f"{list(CUSTOM_COMPONENT_SUPPORTED_TYPES.keys())}"
+                    ),
+                    "traceback": traceback.format_exc(),
+                },
+            )
 
-    return_type_instance = CUSTOM_COMPONENT_SUPPORTED_TYPES.get(return_type)
-    base_classes = get_base_classes(return_type_instance)
+        return_type_instance = CUSTOM_COMPONENT_SUPPORTED_TYPES.get(return_type)
+        base_classes = get_base_classes(return_type_instance)
 
-    for base_class in base_classes:
-        if base_class not in CLASSES_TO_REMOVE:
-            frontend_node.get("base_classes").append(base_class)
+        for base_class in base_classes:
+            if base_class not in CLASSES_TO_REMOVE:
+                frontend_node.get("base_classes").append(base_class)
 
 
 def build_langchain_template_custom_component(custom_component: CustomComponent):
diff --git a/src/frontend/src/components/headerComponent/index.tsx b/src/frontend/src/components/headerComponent/index.tsx
index 8acb9583e..ddae6068c 100644
--- a/src/frontend/src/components/headerComponent/index.tsx
+++ b/src/frontend/src/components/headerComponent/index.tsx
@@ -31,11 +31,27 @@ export default function Header() {
   return (
     <div className="header-arrangement">
       <div className="header-start-display">
-        <Link to="/">
-          <span className="ml-4 text-2xl">⛓️</span>
-        </Link>
-        {flows.findIndex((flow) => tabId === flow.id) !== -1 &&
-          tabId !== "" && <MenuBar flows={flows} tabId={tabId} />}
+        {tabId === "" || !tabId ? (
+          <div className="ml-2">
+            <a
+              href="https://www.langflow.org/"
+              target="_blank"
+              rel="noreferrer"
+              className="header-waitlist-link-box"
+            >
+              <span className="pr-1 text-2xl">⛓️</span>
+              <span>Join The Waitlist</span>
+            </a>
+          </div>
+        ) : (
+          <Link to="/">
+            <span className="ml-4 text-2xl">⛓️</span>
+          </Link>
+        )}
+
+        {flows.findIndex((f) => tabId === f.id) !== -1 && tabId !== "" && (
+          <MenuBar flows={flows} tabId={tabId} />
+        )}
       </div>
       <div className="round-button-div">
         <Link to="/">
diff --git a/src/frontend/src/style/applies.css b/src/frontend/src/style/applies.css
index 0281df7c2..34f0f6732 100644
--- a/src/frontend/src/style/applies.css
+++ b/src/frontend/src/style/applies.css
@@ -495,6 +495,12 @@
   .header-github-link-box {
     @apply inline-flex h-9 items-center justify-center rounded-md border border-input px-3 pr-0 shadow-sm;
   }
+  .header-waitlist-link-box {
+    @apply inline-flex h-9 items-center justify-center rounded-md border border-input px-2 shadow-sm text-sm  font-medium text-muted-foreground ring-offset-background disabled:pointer-events-none disabled:opacity-50 whitespace-nowrap;
+  }
+  .header-waitlist-link-box:hover {
+    @apply hover:bg-accent hover:text-accent-foreground;
+  }
   .header-github-link {
     @apply header-github-link-box text-sm  font-medium text-muted-foreground ring-offset-background disabled:pointer-events-none disabled:opacity-50;
   }
diff --git a/tests/test_custom_component.py b/tests/test_custom_component.py
index f20311cec..4dc8c9f1a 100644
--- a/tests/test_custom_component.py
+++ b/tests/test_custom_component.py
@@ -241,7 +241,7 @@ def test_custom_component_get_function_entrypoint_return_type():
         code=code_default, function_entrypoint_name="build"
     )
     return_type = custom_component.get_function_entrypoint_return_type
-    assert return_type == "Document"
+    assert return_type == ["Document"]
 
 
 def test_custom_component_get_main_class_name():
@@ -436,7 +436,7 @@ class MyClass(CustomComponent):
 
     custom_component = CustomComponent(code=my_code, function_entrypoint_name="build")
     return_type = custom_component.get_function_entrypoint_return_type
-    assert return_type is None
+    assert return_type == []
 
 
 def test_custom_component_get_main_class_name_no_main_class():
@@ -469,7 +469,7 @@ def test_build_config_no_code():
     component = CustomComponent(code=None)
 
     assert component.get_function_entrypoint_args == ""
-    assert component.get_function_entrypoint_return_type == ""
+    assert component.get_function_entrypoint_return_type == []
 
 
 @pytest.fixture
diff --git a/tests/test_vectorstore_template.py b/tests/test_vectorstore_template.py
index 6ae4843ac..4baa7f4b6 100644
--- a/tests/test_vectorstore_template.py
+++ b/tests/test_vectorstore_template.py
@@ -10,4 +10,5 @@ def test_vectorstores_settings(client: TestClient):
     assert response.status_code == 200
     json_response = response.json()
     vectorstores = json_response["vectorstores"]
-    assert set(vectorstores.keys()) == set(settings_manager.settings.VECTORSTORES)
+    settings_vecs = set(settings_manager.settings.VECTORSTORES)
+    assert all(vs in vectorstores for vs in settings_vecs)