diff --git a/poetry.lock b/poetry.lock
index 9a0d3de..4b40a49 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1242,13 +1242,13 @@ test = ["ipykernel", "pre-commit", "pytest (<8)", "pytest-cov", "pytest-timeout"
 
 [[package]]
 name = "langchain"
-version = "0.1.7"
+version = "0.1.13"
 description = "Building applications with LLMs through composability"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain-0.1.7-py3-none-any.whl", hash = "sha256:29d95f12afe9690953820970205dba3b098ee1f7531e80eb18c1236d3feda921"},
-    {file = "langchain-0.1.7.tar.gz", hash = "sha256:b40fbe2b65360afe6c0d5bbf37e79469f990779460640edde5b906175c49807e"},
+    {file = "langchain-0.1.13-py3-none-any.whl", hash = "sha256:c87657021b777d6b07e55be379a28660a1cd148c31593569869dd6b0b4cab945"},
+    {file = "langchain-0.1.13.tar.gz", hash = "sha256:db330aa79c33501cb1ed97ff465f7645813eaa6cfd742c61e19c2d48e4aaba18"},
 ]
 
 [package.dependencies]
@@ -1256,9 +1256,10 @@ 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 = ">=0.0.20,<0.1"
-langchain-core = ">=0.1.22,<0.2"
-langsmith = ">=0.0.83,<0.1"
+langchain-community = ">=0.0.29,<0.1"
+langchain-core = ">=0.1.33,<0.2.0"
+langchain-text-splitters = ">=0.0.1,<0.1"
+langsmith = ">=0.1.17,<0.2.0"
 numpy = ">=1,<2"
 pydantic = ">=1,<3"
 PyYAML = ">=5.3"
@@ -1267,7 +1268,7 @@ SQLAlchemy = ">=1.4,<3"
 tenacity = ">=8.1.0,<9.0.0"
 
 [package.extras]
-azure = ["azure-ai-formrecognizer (>=3.2.1,<4.0.0)", "azure-ai-textanalytics (>=5.3.0,<6.0.0)", "azure-ai-vision (>=0.11.1b1,<0.12.0)", "azure-cognitiveservices-speech (>=1.28.0,<2.0.0)", "azure-core (>=1.26.4,<2.0.0)", "azure-cosmos (>=4.4.0b1,<5.0.0)", "azure-identity (>=1.12.0,<2.0.0)", "azure-search-documents (==11.4.0b8)", "openai (<2)"]
+azure = ["azure-ai-formrecognizer (>=3.2.1,<4.0.0)", "azure-ai-textanalytics (>=5.3.0,<6.0.0)", "azure-cognitiveservices-speech (>=1.28.0,<2.0.0)", "azure-core (>=1.26.4,<2.0.0)", "azure-cosmos (>=4.4.0b1,<5.0.0)", "azure-identity (>=1.12.0,<2.0.0)", "azure-search-documents (==11.4.0b8)", "openai (<2)"]
 clarifai = ["clarifai (>=9.1.0)"]
 cli = ["typer (>=0.9.0,<0.10.0)"]
 cohere = ["cohere (>=4,<5)"]
@@ -1282,20 +1283,20 @@ text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
 
 [[package]]
 name = "langchain-community"
-version = "0.0.20"
+version = "0.0.29"
 description = "Community contributed LangChain integrations."
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_community-0.0.20-py3-none-any.whl", hash = "sha256:bd112b5813702919c50f89b1afa2b63adf1da89999df4842b327ee11220f8c39"},
-    {file = "langchain_community-0.0.20.tar.gz", hash = "sha256:c56c48bc77d24e1fc399a9ee9a637d96e3b2ff952e3a080b5a41820d9d00fb3c"},
+    {file = "langchain_community-0.0.29-py3-none-any.whl", hash = "sha256:1652dddf257089b7b5066974b636262b4a5b680339f4539be133b14ae351e67d"},
+    {file = "langchain_community-0.0.29.tar.gz", hash = "sha256:d88107fafa9fe2c5733da9630c68d9ee51cd33b1c88a4950e7a2d9a38f7e7aa3"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
 dataclasses-json = ">=0.5.7,<0.7"
-langchain-core = ">=0.1.21,<0.2"
-langsmith = ">=0.0.83,<0.1"
+langchain-core = ">=0.1.33,<0.2.0"
+langsmith = ">=0.1.0,<0.2.0"
 numpy = ">=1,<2"
 PyYAML = ">=5.3"
 requests = ">=2,<3"
@@ -1304,23 +1305,23 @@ 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)", "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)", "databricks-vectorsearch (>=0.21,<0.22)", "datasets (>=2.15.0,<3.0.0)", "dgml-utils (>=0.3.0,<0.4.0)", "elasticsearch (>=8.12.0,<9.0.0)", "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)", "hdbcli (>=2.19.21,<3.0.0)", "hologres-vector (>=0.0.6,<0.0.7)", "html2text (>=2020.1.16,<2021.0.0)", "httpx (>=0.24.1,<0.25.0)", "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)", "nvidia-riva-client (>=2.14.0,<3.0.0)", "oci (>=2.119.1,<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)", "rdflib (==7.0.0)", "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)", "tree-sitter (>=0.20.2,<0.21.0)", "tree-sitter-languages (>=1.8.0,<2.0.0)", "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)"]
+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)", "cloudpickle (>=2.0.0)", "cohere (>=4,<5)", "databricks-vectorsearch (>=0.21,<0.22)", "datasets (>=2.15.0,<3.0.0)", "dgml-utils (>=0.3.0,<0.4.0)", "elasticsearch (>=8.12.0,<9.0.0)", "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)", "friendli-client (>=1.2.4,<2.0.0)", "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)", "hdbcli (>=2.19.21,<3.0.0)", "hologres-vector (>=0.0.6,<0.0.7)", "html2text (>=2020.1.16,<2021.0.0)", "httpx (>=0.24.1,<0.25.0)", "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)", "nvidia-riva-client (>=2.14.0,<3.0.0)", "oci (>=2.119.1,<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)", "rdflib (==7.0.0)", "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)", "tidb-vector (>=0.0.3,<1.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "tree-sitter (>=0.20.2,<0.21.0)", "tree-sitter-languages (>=1.8.0,<2.0.0)", "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 = "0.1.23"
+version = "0.1.33"
 description = "Building applications with LLMs through composability"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_core-0.1.23-py3-none-any.whl", hash = "sha256:d42fac013c39a8b0bcd7e337a4cb6c17c16046c60d768f89df582ad73ec3c5cb"},
-    {file = "langchain_core-0.1.23.tar.gz", hash = "sha256:34359cc8b6f8c3d45098c54a6a9b35c9f538ef58329cd943a2249d6d7b4e5806"},
+    {file = "langchain_core-0.1.33-py3-none-any.whl", hash = "sha256:cee7fbab114c74b7279a92c8a376b40344b0fa3d0f0af3143a858e3b7485bf13"},
+    {file = "langchain_core-0.1.33.tar.gz", hash = "sha256:545eff3de83cc58231bd2b0c6d672323fc2077b94d326ba1a3219118af1d1a66"},
 ]
 
 [package.dependencies]
 anyio = ">=3,<5"
 jsonpatch = ">=1.33,<2.0"
-langsmith = ">=0.0.87,<0.0.88"
+langsmith = ">=0.1.0,<0.2.0"
 packaging = ">=23.2,<24.0"
 pydantic = ">=1,<3"
 PyYAML = ">=5.3"
@@ -1332,33 +1333,50 @@ extended-testing = ["jinja2 (>=3,<4)"]
 
 [[package]]
 name = "langchain-openai"
-version = "0.0.6"
+version = "0.0.8"
 description = "An integration package connecting OpenAI and LangChain"
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
-    {file = "langchain_openai-0.0.6-py3-none-any.whl", hash = "sha256:2ef040e4447a26a9d3bd45dfac9cefa00797ea58555a3d91ab4f88699eb3a005"},
-    {file = "langchain_openai-0.0.6.tar.gz", hash = "sha256:f5c4ebe46f2c8635c8f0c26cc8df27700aacafea025410e418d5a080039974dd"},
+    {file = "langchain_openai-0.0.8-py3-none-any.whl", hash = "sha256:4862fc72cecbee0240aaa6df0234d5893dd30cd33ca23ac5cfdd86c11d2c44df"},
+    {file = "langchain_openai-0.0.8.tar.gz", hash = "sha256:b7aba7fcc52305e78b08197ebc54fc45cc06dbc40ba5b913bc48a22b30a4f5c9"},
 ]
 
 [package.dependencies]
-langchain-core = ">=0.1.16,<0.2"
-numpy = ">=1,<2"
+langchain-core = ">=0.1.27,<0.2.0"
 openai = ">=1.10.0,<2.0.0"
 tiktoken = ">=0.5.2,<1"
 
+[[package]]
+name = "langchain-text-splitters"
+version = "0.0.1"
+description = "LangChain text splitting utilities"
+optional = false
+python-versions = ">=3.8.1,<4.0"
+files = [
+    {file = "langchain_text_splitters-0.0.1-py3-none-any.whl", hash = "sha256:f5b802f873f5ff6a8b9259ff34d53ed989666ef4e1582e6d1adb3b5520e3839a"},
+    {file = "langchain_text_splitters-0.0.1.tar.gz", hash = "sha256:ac459fa98799f5117ad5425a9330b21961321e30bc19a2a2f9f761ddadd62aa1"},
+]
+
+[package.dependencies]
+langchain-core = ">=0.1.28,<0.2.0"
+
+[package.extras]
+extended-testing = ["lxml (>=5.1.0,<6.0.0)"]
+
 [[package]]
 name = "langsmith"
-version = "0.0.87"
+version = "0.1.31"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langsmith-0.0.87-py3-none-any.whl", hash = "sha256:8903d3811b9fc89eb18f5961c8e6935fbd2d0f119884fbf30dc70b8f8f4121fc"},
-    {file = "langsmith-0.0.87.tar.gz", hash = "sha256:36c4cc47e5b54be57d038036a30fb19ce6e4c73048cd7a464b8f25b459694d34"},
+    {file = "langsmith-0.1.31-py3-none-any.whl", hash = "sha256:5211a9dc00831db307eb843485a97096484b697b5d2cd1efaac34228e97ca087"},
+    {file = "langsmith-0.1.31.tar.gz", hash = "sha256:efd54ccd44be7fda911bfdc0ead340473df2fdd07345c7252901834d0c4aa37e"},
 ]
 
 [package.dependencies]
+orjson = ">=3.9.14,<4.0.0"
 pydantic = ">=1,<3"
 requests = ">=2,<3"
 
@@ -1610,13 +1628,13 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.14.2"
+version = "1.14.3"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
-    {file = "openai-1.14.2-py3-none-any.whl", hash = "sha256:a48b3c4d635b603952189ac5a0c0c9b06c025b80eb2900396939f02bb2104ac3"},
-    {file = "openai-1.14.2.tar.gz", hash = "sha256:e5642f7c02cf21994b08477d7bb2c1e46d8f335d72c26f0396c5f89b15b5b153"},
+    {file = "openai-1.14.3-py3-none-any.whl", hash = "sha256:7a465994a7ccf677a110c6cc2ef9d86229bad42c060b585b67049aa749f3b774"},
+    {file = "openai-1.14.3.tar.gz", hash = "sha256:37b514e9c0ff45383ec9b242abd0f7859b1080d4b54b61393ed341ecad1b8eb9"},
 ]
 
 [package.dependencies]
@@ -1631,6 +1649,65 @@ typing-extensions = ">=4.7,<5"
 [package.extras]
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
+[[package]]
+name = "orjson"
+version = "3.9.15"
+description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "orjson-3.9.15-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:d61f7ce4727a9fa7680cd6f3986b0e2c732639f46a5e0156e550e35258aa313a"},
+    {file = "orjson-3.9.15-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4feeb41882e8aa17634b589533baafdceb387e01e117b1ec65534ec724023d04"},
+    {file = "orjson-3.9.15-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:fbbeb3c9b2edb5fd044b2a070f127a0ac456ffd079cb82746fc84af01ef021a4"},
+    {file = "orjson-3.9.15-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b66bcc5670e8a6b78f0313bcb74774c8291f6f8aeef10fe70e910b8040f3ab75"},
+    {file = "orjson-3.9.15-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2973474811db7b35c30248d1129c64fd2bdf40d57d84beed2a9a379a6f57d0ab"},
+    {file = "orjson-3.9.15-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9fe41b6f72f52d3da4db524c8653e46243c8c92df826ab5ffaece2dba9cccd58"},
+    {file = "orjson-3.9.15-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:4228aace81781cc9d05a3ec3a6d2673a1ad0d8725b4e915f1089803e9efd2b99"},
+    {file = "orjson-3.9.15-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:6f7b65bfaf69493c73423ce9db66cfe9138b2f9ef62897486417a8fcb0a92bfe"},
+    {file = "orjson-3.9.15-cp310-none-win32.whl", hash = "sha256:2d99e3c4c13a7b0fb3792cc04c2829c9db07838fb6973e578b85c1745e7d0ce7"},
+    {file = "orjson-3.9.15-cp310-none-win_amd64.whl", hash = "sha256:b725da33e6e58e4a5d27958568484aa766e825e93aa20c26c91168be58e08cbb"},
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+    {file = "orjson-3.9.15.tar.gz", hash = "sha256:95cae920959d772f30ab36d3b25f83bb0f3be671e986c72ce22f8fa700dae061"},
+]
+
 [[package]]
 name = "packaging"
 version = "23.2"
@@ -3067,4 +3144,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<4.0"
-content-hash = "98f3f98cf7f0aa264aca8603c98baae65810bf8affb2007f7a3df08e8a36a3c7"
+content-hash = "c0dbf9b20d580374113f2ec6858a71190d58f0d83fcda2b8b099e4a7d2668966"
diff --git a/pyproject.toml b/pyproject.toml
index fef5526..48a0a1e 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -7,7 +7,7 @@ readme = "README.md"
 
 [tool.poetry.dependencies]
 python = ">=3.9,<4.0"
-langchain-core = ">=0.0.12"
+langchain-core = "^0.1.33"
 weaviate-client = "^4.0.0"
 numpy = "^1.26.2"
 simsimd = "^3.6.1"
@@ -18,11 +18,11 @@ optional = true
 [tool.poetry.group.test.dependencies]
 pytest = ">=7.3,<9.0"
 freezegun = "^1.2.2"
-pytest-mock  = "^3.10.0"
+pytest-mock = "^3.10.0"
 syrupy = "^4.0.2"
 pytest-watcher = ">=0.3.4,<0.5.0"
 pytest-asyncio = ">=0.21.1,<0.24.0"
-langchain = ">=0.0.352,<0.1.8"
+langchain = "^0.1.8"
 pytest-docker = ">=2.0.1,<4.0.0"
 pytest-xdist = "^3.5.0"
 openai = "^1.6.0"
@@ -58,18 +58,16 @@ langchain-openai = ">=0.0.3,<0.1"
 
 [tool.ruff]
 lint.select = [
-  "E",  # pycodestyle
-  "F",  # pyflakes
-  "I",  # isort
+  "E", # pycodestyle
+  "F", # pyflakes
+  "I", # isort
 ]
 
 [tool.mypy]
 disallow_untyped_defs = "True"
 
 [tool.coverage.run]
-omit = [
-    "tests/*",
-]
+omit = ["tests/*"]
 
 [build-system]
 requires = ["poetry-core>=1.0.0"]
diff --git a/tests/integration_tests/fake_docs.json b/tests/integration_tests/fake_docs.json
new file mode 100644
index 0000000..e298849
--- /dev/null
+++ b/tests/integration_tests/fake_docs.json
@@ -0,0 +1,7692 @@
+{
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+        -0.0025784409801448975,
+        -0.02374457686524114
+    ]
+}
\ No newline at end of file
diff --git a/tests/integration_tests/fake_embeddings.py b/tests/integration_tests/fake_embeddings.py
index 63394e7..243e2f8 100644
--- a/tests/integration_tests/fake_embeddings.py
+++ b/tests/integration_tests/fake_embeddings.py
@@ -1,12 +1,11 @@
 """Fake Embedding class for testing purposes."""
 
+import json
 import math
-from typing import List
+from typing import Dict, List
 
 from langchain_core.embeddings import Embeddings
 
-fake_texts = ["foo", "bar", "baz"]
-
 
 class FakeEmbeddings(Embeddings):
     """Fake embeddings functionality for testing."""
@@ -34,21 +33,14 @@ class ConsistentFakeEmbeddings(FakeEmbeddings):
     """Fake embeddings which remember all the texts seen so far to return consistent
     vectors for the same texts."""
 
-    def __init__(self, dimensionality: int = 10) -> None:
-        self.known_texts: List[str] = []
-        self.dimensionality = dimensionality
+    def __init__(self) -> None:
+        with open("./tests/integration_tests/fake_docs.json", "r") as f:
+            self.known_texts: Dict[str, List[float]] = json.load(f)
 
     def embed_documents(self, texts: List[str]) -> List[List[float]]:
         """Return consistent embeddings for each text seen so far."""
-        out_vectors = []
-        for text in texts:
-            if text not in self.known_texts:
-                self.known_texts.append(text)
-            vector = [float(1.0)] * (self.dimensionality - 1) + [
-                float(self.known_texts.index(text))
-            ]
-            out_vectors.append(vector)
-        return out_vectors
+
+        return [self.known_texts[text] for text in texts]
 
     def embed_query(self, text: str) -> List[float]:
         """Return consistent embeddings for the text, if seen before, or a constant
diff --git a/tests/integration_tests/test_vectorstores.py b/tests/integration_tests/test_vectorstores.py
index c1aaba9..64e46ca 100644
--- a/tests/integration_tests/test_vectorstores.py
+++ b/tests/integration_tests/test_vectorstores.py
@@ -14,7 +14,7 @@
 
 from langchain_weaviate.vectorstores import WeaviateVectorStore
 
-from .fake_embeddings import FakeEmbeddings
+from .fake_embeddings import ConsistentFakeEmbeddings, FakeEmbeddings
 
 logging.basicConfig(level=logging.DEBUG)
 
@@ -758,7 +758,7 @@ def test_ingest_bad_documents(weaviate_client, embedding_openai, caplog):
 
 
 @pytest.mark.parametrize("auto_limit, expected_num_docs", [(0, 4), (1, 3)])
-def test_autocut(weaviate_client, embedding_openai, auto_limit, expected_num_docs):
+def test_autocut(weaviate_client, auto_limit, expected_num_docs):
     index_name = f"TestIndex_{uuid.uuid4().hex}"
     text_key = "page_content"
 
@@ -780,7 +780,7 @@ def test_autocut(weaviate_client, embedding_openai, auto_limit, expected_num_doc
 
     docsearch = WeaviateVectorStore.from_texts(
         texts=texts,
-        embedding=embedding_openai,
+        embedding=ConsistentFakeEmbeddings(),
         client=weaviate_client,
         index_name=index_name,
         text_key=text_key,