diff --git a/poetry.lock b/poetry.lock
index 055cdc2..6657817 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,17 +1,5 @@
 # This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
 
-[[package]]
-name = "aiofiles"
-version = "24.1.0"
-description = "File support for asyncio."
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-files = [
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-]
-
 [[package]]
 name = "aiohappyeyeballs"
 version = "2.6.1"
@@ -118,7 +106,6 @@ files = [
 [package.dependencies]
 aiohappyeyeballs = ">=2.3.0"
 aiosignal = ">=1.1.2"
-async-timeout = {version = ">=4.0,<6.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
 frozenlist = ">=1.1.1"
 multidict = ">=4.5,<7.0"
@@ -168,7 +155,6 @@ files = [
 ]
 
 [package.dependencies]
-exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
 idna = ">=2.8"
 sniffio = ">=1.1"
 typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
@@ -190,25 +176,9 @@ files = [
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-[package.dependencies]
-typing-extensions = {version = ">=4", markers = "python_version < \"3.11\""}
-
 [package.extras]
 tests = ["mypy (>=0.800)", "pytest", "pytest-asyncio"]
 
-[[package]]
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-version = "4.0.3"
-description = "Timeout context manager for asyncio programs"
-optional = false
-python-versions = ">=3.7"
-groups = ["main"]
-markers = "python_version < \"3.11\""
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-
 [[package]]
 name = "attrs"
 version = "25.3.0"
@@ -306,29 +276,6 @@ files = [
 tests = ["pytest (>=3.2.1,!=3.3.0)"]
 typecheck = ["mypy"]
 
-[[package]]
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-chardet = ["chardet"]
-charset-normalizer = ["charset-normalizer"]
-html5lib = ["html5lib"]
-lxml = ["lxml"]
-
 [[package]]
 name = "build"
 version = "1.2.2.post1"
@@ -343,10 +290,8 @@ files = [
 
 [package.dependencies]
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 ]
 
 [package.dependencies]
@@ -617,23 +466,22 @@ numpy = "*"
 
 [[package]]
 name = "chromadb"
-version = "0.5.23"
+version = "0.4.24"
 description = "Chroma."
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
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 build = ">=1.0.3"
-chroma-hnswlib = "0.7.6"
+chroma-hnswlib = "0.7.3"
 fastapi = ">=0.95.2"
 grpcio = ">=1.58.0"
-httpx = ">=0.27.0"
 importlib-resources = "*"
 kubernetes = ">=28.1.0"
 mmh3 = ">=4.0.1"
@@ -646,15 +494,16 @@ opentelemetry-sdk = ">=1.2.0"
 orjson = ">=3.9.12"
 overrides = ">=7.3.1"
 posthog = ">=2.4.0"
+pulsar-client = ">=3.1.0"
 pydantic = ">=1.9"
 pypika = ">=0.48.9"
 PyYAML = ">=6.0.0"
-rich = ">=10.11.0"
+requests = ">=2.28"
 tenacity = ">=8.2.3"
-tokenizers = ">=0.13.2,<=0.20.3"
+tokenizers = ">=0.13.2"
 tqdm = ">=4.65.0"
 typer = ">=0.9.0"
-typing_extensions = ">=4.5.0"
+typing-extensions = ">=4.5.0"
 uvicorn = {version = ">=0.18.3", extras = ["standard"]}
 
 [[package]]
@@ -703,116 +552,6 @@ humanfriendly = ">=9.1"
 [package.extras]
 cron = ["capturer (>=2.4)"]
 
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-version = "43.0.3"
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-python-versions = ">=3.7"
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-
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-
-[package.extras]
-docs = ["sphinx (>=5.3.0)", "sphinx-rtd-theme (>=3.0.0) ; python_version >= \"3.8\""]
-docstest = ["pyenchant (>=3)", "readme-renderer (>=30.0)", "sphinxcontrib-spelling (>=7.3.1)"]
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-pep8test = ["check-sdist ; python_version >= \"3.8\"", "click (>=8.0.1)", "mypy (>=1.4)", "ruff (>=0.3.6)"]
-sdist = ["build (>=1.0.0)"]
-ssh = ["bcrypt (>=3.1.5)"]
-test = ["certifi (>=2024)", "cryptography-vectors (==44.0.2)", "pretend (>=0.7)", "pytest (>=7.4.0)", "pytest-benchmark (>=4.0)", "pytest-cov (>=2.10.1)", "pytest-xdist (>=3.5.0)"]
-test-randomorder = ["pytest-randomly"]
-
 [[package]]
 name = "dataclasses-json"
 version = "0.6.7"
@@ -871,52 +610,6 @@ files = [
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-[[package]]
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-description = "Emoji for Python"
-optional = false
-python-versions = ">=3.7"
-groups = ["main"]
-files = [
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-
-[package.extras]
-dev = ["coverage", "pytest (>=7.4.4)"]
-
-[[package]]
-name = "eval-type-backport"
-version = "0.2.2"
-description = "Like `typing._eval_type`, but lets older Python versions use newer typing features."
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-files = [
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-
-[package.extras]
-tests = ["pytest"]
-
-[[package]]
-name = "exceptiongroup"
-version = "1.2.2"
-description = "Backport of PEP 654 (exception groups)"
-optional = false
-python-versions = ">=3.7"
-groups = ["main", "dev"]
-markers = "python_version < \"3.11\""
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-
-[package.extras]
-test = ["pytest (>=6)"]
-
 [[package]]
 name = "fastapi"
 version = "0.115.11"
@@ -955,18 +648,6 @@ docs = ["furo (>=2024.8.6)", "sphinx (>=8.1.3)", "sphinx-autodoc-typehints (>=3)
 testing = ["covdefaults (>=2.3)", "coverage (>=7.6.10)", "diff-cover (>=9.2.1)", "pytest (>=8.3.4)", "pytest-asyncio (>=0.25.2)", "pytest-cov (>=6)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.28.1)"]
 typing = ["typing-extensions (>=4.12.2) ; python_version < \"3.11\""]
 
-[[package]]
-name = "filetype"
-version = "1.2.0"
-description = "Infer file type and MIME type of any file/buffer. No external dependencies."
-optional = false
-python-versions = "*"
-groups = ["main"]
-files = [
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-]
-
 [[package]]
 name = "flatbuffers"
 version = "25.2.10"
@@ -1328,28 +1009,6 @@ files = [
     {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
 ]
 
-[[package]]
-name = "html5lib"
-version = "1.1"
-description = "HTML parser based on the WHATWG HTML specification"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-groups = ["main"]
-files = [
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-
-[package.dependencies]
-six = ">=1.9"
-webencodings = "*"
-
-[package.extras]
-all = ["chardet (>=2.2)", "genshi", "lxml ; platform_python_implementation == \"CPython\""]
-chardet = ["chardet (>=2.2)"]
-genshi = ["genshi"]
-lxml = ["lxml ; platform_python_implementation == \"CPython\""]
-
 [[package]]
 name = "httpcore"
 version = "1.0.7"
@@ -1430,14 +1089,14 @@ test = ["Cython (>=0.29.24)"]
 
 [[package]]
 name = "httpx"
-version = "0.28.1"
+version = "0.27.2"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 files = [
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+    {file = "httpx-0.27.2.tar.gz", hash = "sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2"},
 ]
 
 [package.dependencies]
@@ -1445,6 +1104,7 @@ anyio = "*"
 certifi = "*"
 httpcore = "==1.*"
 idna = "*"
+sniffio = "*"
 
 [package.extras]
 brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
@@ -1566,9 +1226,6 @@ files = [
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 ]
 
-[package.dependencies]
-zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
-
 [package.extras]
 check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
 cover = ["pytest-cov"]
@@ -1589,18 +1246,6 @@ files = [
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 ]
 
-[[package]]
-name = "joblib"
-version = "1.4.2"
-description = "Lightweight pipelining with Python functions"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-files = [
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-
 [[package]]
 name = "jsonpatch"
 version = "1.33"
@@ -1669,7 +1314,6 @@ files = [
 ]
 
 [package.dependencies]
-async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
 langchain-core = ">=0.3.45,<1.0.0"
 langchain-text-splitters = ">=0.3.7,<1.0.0"
 langsmith = ">=0.1.17,<0.4"
@@ -1769,18 +1413,18 @@ typing-extensions = ">=4.7"
 
 [[package]]
 name = "langchain-ollama"
-version = "0.2.3"
+version = "0.3.0"
 description = "An integration package connecting Ollama and LangChain"
 optional = false
 python-versions = "<4.0,>=3.9"
 groups = ["main"]
 files = [
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-    {file = "langchain_ollama-0.2.3.tar.gz", hash = "sha256:d13fe8735176b652ca6e6656d7902c1265e8c0601097569f7c95433f3d034b38"},
+    {file = "langchain_ollama-0.3.0-py3-none-any.whl", hash = "sha256:33716a912419d00a17da446f1b6ec8ec45c7b9376c6a1c0b688cc0cecd4b9c39"},
+    {file = "langchain_ollama-0.3.0.tar.gz", hash = "sha256:4989f79d4b2d0d51f3a95e53b4c368c95c6bb64922a9ea40a7a376b43187803b"},
 ]
 
 [package.dependencies]
-langchain-core = ">=0.3.33,<0.4.0"
+langchain-core = ">=0.3.47,<1.0.0"
 ollama = ">=0.4.4,<1"
 
 [[package]]
@@ -1798,205 +1442,30 @@ files = [
 [package.dependencies]
 langchain-core = ">=0.3.45,<1.0.0"
 
-[[package]]
-name = "langdetect"
-version = "1.0.9"
-description = "Language detection library ported from Google's language-detection."
-optional = false
-python-versions = "*"
-groups = ["main"]
-files = [
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-    {file = "langdetect-1.0.9.tar.gz", hash = "sha256:cbc1fef89f8d062739774bd51eda3da3274006b3661d199c2655f6b3f6d605a0"},
-]
-
-[package.dependencies]
-six = "*"
-
 [[package]]
 name = "langsmith"
-version = "0.3.18"
+version = "0.1.147"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
-python-versions = "<4.0,>=3.9"
+python-versions = "<4.0,>=3.8.1"
 groups = ["main"]
 files = [
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+    {file = "langsmith-0.1.147-py3-none-any.whl", hash = "sha256:7166fc23b965ccf839d64945a78e9f1157757add228b086141eb03a60d699a15"},
+    {file = "langsmith-0.1.147.tar.gz", hash = "sha256:2e933220318a4e73034657103b3b1a3a6109cc5db3566a7e8e03be8d6d7def7a"},
 ]
 
 [package.dependencies]
 httpx = ">=0.23.0,<1"
 orjson = {version = ">=3.9.14,<4.0.0", markers = "platform_python_implementation != \"PyPy\""}
-packaging = ">=23.2"
 pydantic = [
     {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
     {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
 ]
 requests = ">=2,<3"
 requests-toolbelt = ">=1.0.0,<2.0.0"
-zstandard = ">=0.23.0,<0.24.0"
 
 [package.extras]
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 description = "Core utilities for Python packages"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.7"
 groups = ["main", "dev"]
 files = [
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 ]
 
 [[package]]
@@ -2972,28 +2344,52 @@ files = [
 ]
 
 [[package]]
-name = "psutil"
-version = "7.0.0"
-description = "Cross-platform lib for process and system monitoring in Python.  NOTE: the syntax of this script MUST be kept compatible with Python 2.7."
+name = "pulsar-client"
+version = "3.6.1"
+description = "Apache Pulsar Python client library"
 optional = false
-python-versions = ">=3.6"
+python-versions = "*"
 groups = ["main"]
 files = [
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+    {file = "pulsar_client-3.6.1-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:3fb09f9fb5510a6dc1b72831dbbf17a4298d8ec25af1f755cdaef3dba469e65d"},
+    {file = "pulsar_client-3.6.1-cp313-cp313-win_amd64.whl", hash = "sha256:b080192d0d8075b7d010e32aed597e5dcdab6dbbe31662eccb980afe8cb250fb"},
+    {file = "pulsar_client-3.6.1-cp39-cp39-macosx_13_0_universal2.whl", hash = "sha256:1a92122d7b7ac371ecfa37962422e0529af7e6483bf2d14c4a0fa56b522949dc"},
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+    {file = "pulsar_client-3.6.1-cp39-cp39-win_amd64.whl", hash = "sha256:32e04901545705615f6ed7c24d664d6098dbedfb7df623d0a3786a268520f9b5"},
 ]
 
+[package.dependencies]
+certifi = "*"
+
 [package.extras]
-dev = ["abi3audit", "black (==24.10.0)", "check-manifest", "coverage", "packaging", "pylint", "pyperf", "pypinfo", "pytest", "pytest-cov", "pytest-xdist", "requests", "rstcheck", "ruff", "setuptools", "sphinx", "sphinx_rtd_theme", "toml-sort", "twine", "virtualenv", "vulture", "wheel"]
-test = ["pytest", "pytest-xdist", "setuptools"]
+all = ["apache-bookkeeper-client (>=4.16.1)", "fastavro (>=1.9.2)", "grpcio (>=1.59.3)", "prometheus-client", "protobuf (>=3.6.1,<=3.20.3)", "ratelimit"]
+avro = ["fastavro (>=1.9.2)"]
+functions = ["apache-bookkeeper-client (>=4.16.1)", "grpcio (>=1.59.3)", "prometheus-client", "protobuf (>=3.6.1,<=3.20.3)", "ratelimit"]
 
 [[package]]
 name = "pyasn1"
@@ -3022,18 +2418,6 @@ files = [
 [package.dependencies]
 pyasn1 = ">=0.4.6,<0.7.0"
 
-[[package]]
-name = "pycparser"
-version = "2.22"
-description = "C parser in Python"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-files = [
-    {file = "pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc"},
-    {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"},
-]
-
 [[package]]
 name = "pydantic"
 version = "2.10.6"
@@ -3204,29 +2588,6 @@ files = [
 [package.extras]
 windows-terminal = ["colorama (>=0.4.6)"]
 
-[[package]]
-name = "pypdf"
-version = "5.4.0"
-description = "A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-files = [
-    {file = "pypdf-5.4.0-py3-none-any.whl", hash = "sha256:db994ab47cadc81057ea1591b90e5b543e2b7ef2d0e31ef41a9bfe763c119dab"},
-    {file = "pypdf-5.4.0.tar.gz", hash = "sha256:9af476a9dc30fcb137659b0dec747ea94aa954933c52cf02ee33e39a16fe9175"},
-]
-
-[package.dependencies]
-typing_extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
-
-[package.extras]
-crypto = ["cryptography"]
-cryptodome = ["PyCryptodome"]
-dev = ["black", "flit", "pip-tools", "pre-commit (<2.18.0)", "pytest-cov", "pytest-socket", "pytest-timeout", "pytest-xdist", "wheel"]
-docs = ["myst_parser", "sphinx", "sphinx_rtd_theme"]
-full = ["Pillow (>=8.0.0)", "cryptography"]
-image = ["Pillow (>=8.0.0)"]
-
 [[package]]
 name = "pypika"
 version = "0.48.9"
@@ -3280,11 +2641,9 @@ files = [
 
 [package.dependencies]
 colorama = {version = "*", markers = "sys_platform == \"win32\""}
-exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
 iniconfig = "*"
 packaging = "*"
 pluggy = ">=1.5,<2"
-tomli = {version = ">=1", markers = "python_version < \"3.11\""}
 
 [package.extras]
 dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
@@ -3319,50 +2678,6 @@ files = [
 [package.extras]
 cli = ["click (>=5.0)"]
 
-[[package]]
-name = "python-iso639"
-version = "2025.2.18"
-description = "ISO 639 language codes, names, and other associated information"
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-files = [
-    {file = "python_iso639-2025.2.18-py3-none-any.whl", hash = "sha256:b2d471c37483a26f19248458b20e7bd96492e15368b01053b540126bcc23152f"},
-    {file = "python_iso639-2025.2.18.tar.gz", hash = "sha256:34e31e8e76eb3fc839629e257b12bcfd957c6edcbd486bbf66ba5185d1f566e8"},
-]
-
-[package.extras]
-dev = ["black (==25.1.0)", "build (==1.2.2)", "flake8 (==7.1.1)", "mypy (==1.15.0)", "pytest (==8.3.4)", "requests (==2.32.3)", "twine (==6.1.0)"]
-
-[[package]]
-name = "python-magic"
-version = "0.4.27"
-description = "File type identification using libmagic"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-groups = ["main"]
-files = [
-    {file = "python-magic-0.4.27.tar.gz", hash = "sha256:c1ba14b08e4a5f5c31a302b7721239695b2f0f058d125bd5ce1ee36b9d9d3c3b"},
-    {file = "python_magic-0.4.27-py2.py3-none-any.whl", hash = "sha256:c212960ad306f700aa0d01e5d7a325d20548ff97eb9920dcd29513174f0294d3"},
-]
-
-[[package]]
-name = "python-oxmsg"
-version = "0.0.2"
-description = "Extract attachments from Outlook .msg files."
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-files = [
-    {file = "python_oxmsg-0.0.2-py3-none-any.whl", hash = "sha256:22be29b14c46016bcd05e34abddfd8e05ee82082f53b82753d115da3fc7d0355"},
-    {file = "python_oxmsg-0.0.2.tar.gz", hash = "sha256:a6aff4deb1b5975d44d49dab1d9384089ffeec819e19c6940bc7ffbc84775fad"},
-]
-
-[package.dependencies]
-click = "*"
-olefile = "*"
-typing_extensions = ">=4.9.0"
-
 [[package]]
 name = "pyyaml"
 version = "6.0.2"
@@ -3426,217 +2741,6 @@ files = [
     {file = "pyyaml-6.0.2.tar.gz", hash = "sha256:d584d9ec91ad65861cc08d42e834324ef890a082e591037abe114850ff7bbc3e"},
 ]
 
-[[package]]
-name = "rapidfuzz"
-version = "3.12.2"
-description = "rapid fuzzy string matching"
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-files = [
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-
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 version = "2.32.3"
@@ -3708,7 +2812,6 @@ files = [
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 markdown-it-py = ">=2.2.0"
 pygments = ">=2.13.0,<3.0.0"
-typing-extensions = {version = ">=4.0.0,<5.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
 jupyter = ["ipywidgets (>=7.5.1,<9)"]
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-groups = ["main"]
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 [package.dependencies]
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-typing-extensions = {version = ">=3.10.0", markers = "python_version < \"3.10\""}
 
 [package.extras]
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 [[package]]
 name = "tenacity"
-version = "9.0.0"
+version = "8.5.0"
 description = "Retry code until it succeeds"
 optional = false
 python-versions = ">=3.8"
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 docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
 testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
 
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-]
-
-[package.dependencies]
-cffi = {version = ">=1.11", markers = "platform_python_implementation == \"PyPy\""}
-
-[package.extras]
-cffi = ["cffi (>=1.11)"]
-
 [metadata]
 lock-version = "2.1"
-python-versions = ">=3.9,<4.0"
-content-hash = "859e55e8e7ac53bafd53b793453da20ed3803fea94dc70d2452e72130b3f1248"
+python-versions = "^3.11"
+content-hash = "36ad21d1cb814cba1022ee451a08b897566c9492209ea0673f2ccfebca52d45a"
diff --git a/pyproject.toml b/pyproject.toml
index 62126fb..f81eb07 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,27 +1,29 @@
 [project]
 name = "code-rag"
 version = "0.1.0"
-description = "Simple RAG implementation for use with neovim"
-authors = [{ name = "Alex Selimov", email = "alex@alexselimov.com" }]
-readme = "README.md"
-requires-python = ">=3.9,<4.0"
-dependencies = [
-    "langchain (>=0.3.21,<0.4.0)", 
-    "ollama (>=0.4.7,<0.5.0)", 
-    "langchain-community (>=0.3.20,<0.4.0)", 
-    "langchain-ollama (>=0.2.3,<0.3.0)", 
-    "chromadb (>=0.4.0,<0.6.0)", 
-    "unstructured (>=0.17.2,<0.18.0)",
-    "langchain-chroma (>=0.1.0,<0.2.0)"
+description = "Simple RAG implementation"
+authors = [
+    { name = "Alex Selimov", email = "alex@alexselimov.com" }
 ]
+readme = "README.md"
+requires-python = "^3.11"
 
 [tool.poetry]
 packages = [{ include = "code_rag", from = "src" }]
 
+[tool.poetry.dependencies]
+python = "^3.11"
+langchain = "*"
+langchain-community = "*"
+langchain-core = "*"
+langchain-chroma = "*"
+langchain-ollama = "*"
+chromadb = "*"
+ollama = "*"
 
 [tool.poetry.group.dev.dependencies]
 pytest = "^8.3.5"
 
 [build-system]
-requires = ["poetry-core>=2.0.0,<3.0.0"]
+requires = ["poetry-core"]
 build-backend = "poetry.core.masonry.api"
diff --git a/src/code_rag/rag.py b/src/code_rag/rag.py
index 4feda44..95cbed1 100644
--- a/src/code_rag/rag.py
+++ b/src/code_rag/rag.py
@@ -1,10 +1,12 @@
 import os
 import uuid
+import glob
 from langchain_community.document_loaders import DirectoryLoader, TextLoader
 from langchain.text_splitter import RecursiveCharacterTextSplitter
-from langchain_community.vectorstores import Chroma
+from langchain_chroma import Chroma
 from langchain.chains import RetrievalQA
 from langchain.prompts import PromptTemplate
+from langchain_core.documents import Document
 
 from code_rag.doc_tracker import DocumentTracker
 from code_rag.ollama_wrapper import OllamaWrapper
@@ -61,10 +63,32 @@ class RAG:
 
         return all_chunks, file_chunk_map
 
-    def create_vector_db(self, extension=".txt", force_refresh=False):
+    def create_vector_db(self, extensions=None, force_refresh=False):
         """
-        Create or update a vector database, with complete handling of changes
+        Create or update a vector database, with complete handling of changes.
+        
+        Args:
+            extensions (list[str], optional): List of file extensions to include.
+                                           If None, defaults to common programming languages.
+            force_refresh (bool): Whether to force a complete refresh of the vector database.
         """
+        # Set default extensions for common programming languages if none provided
+        if extensions is None:
+            extensions = [
+                # Python
+                '.py', '.pyi', '.pyx',
+                # C/C++
+                '.c', '.cpp', '.cc', '.cxx', '.h', '.hpp', '.hxx',
+                # Rust
+                '.rs',
+                # Documentation
+                '.txt', '.md',
+                # Build/Config
+                '.toml', '.yaml', '.json'
+            ]
+        elif isinstance(extensions, str):
+            extensions = [extensions]
+
         # Text splitter configuration
         text_splitter = RecursiveCharacterTextSplitter(
             chunk_size=1000, chunk_overlap=200
@@ -75,121 +99,79 @@ class RAG:
         embeddings = self.ollama.embeddings
         print("after embedding")
 
-        if force_refresh:
-            print("Force refresh: Processing all documents")
-            # Load all documents
-            loader = DirectoryLoader(self.docs_dir, glob=f"**/*{extension}")
-            all_documents = loader.load()
-
-            if not all_documents:
-                print("No documents found to process")
-                # Create an empty vector store
-                vectorstore = Chroma(
-                    persist_directory=self.db_dir, embedding_function=embeddings
-                )
-                return vectorstore
-
-            # Add unique IDs to each document
-            for doc in all_documents:
-                doc.metadata["source"] = os.path.abspath(doc.metadata["source"])
-                doc.metadata["source_id"] = doc.metadata["source"]
-
-            # Split documents
-            chunks = text_splitter.split_documents(all_documents)
-
-            # Add chunk IDs and update tracker
-            file_chunk_map = {}
-            for chunk in chunks:
-                chunk_id = str(uuid.uuid4())
-                chunk.metadata["chunk_id"] = chunk_id
-
-                source = chunk.metadata["source"]
-                if source not in file_chunk_map:
-                    file_chunk_map[source] = []
-
-                file_chunk_map[source].append(chunk_id)
-
-            # Update tracker with chunk mappings
-            for file_path, chunk_ids in file_chunk_map.items():
-                self.tracker.update_chunk_mappings(file_path, chunk_ids)
-
-            print(
-                f"Processing {len(all_documents)} documents with {len(chunks)} chunks"
+        # Load or create vector store
+        if os.path.exists(self.db_dir) and not force_refresh:
+            print("Loading existing vector store")
+            vectorstore = Chroma(
+                persist_directory=self.db_dir,
+                embedding_function=embeddings
+            )
+        else:
+            print("Creating new vector store")
+            vectorstore = Chroma(
+                persist_directory=self.db_dir,
+                embedding_function=embeddings
             )
 
-            # Create new vector store
-            vectorstore = Chroma.from_documents(
-                documents=chunks, embedding=embeddings, persist_directory=self.db_dir
-            )
+        # Find all files that match the extensions
+        all_files = set()
+        for ext in extensions:
+            files = glob.glob(os.path.join(self.docs_dir, f"**/*{ext}"), recursive=True)
+            all_files.update(files)
+
+        if not all_files:
+            print("No documents found to process")
             return vectorstore
 
-        # Get changes since last update
-        changed_files = self.tracker.get_changed_files(self.docs_dir)
-
-        if not any(changed_files.values()):
-            print("No document changes detected")
-            # Load existing vector store if available
-            if os.path.exists(self.db_dir):
-                return Chroma(
-                    persist_directory=self.db_dir,
-                    embedding_function=self.ollama.embeddings,
-                )
-            else:
-                print("No vector database exists. Creating from all documents...")
-                return self.create_vector_db(force_refresh=True)
-
-        # Process changes
-        print(
-            f"Changes detected - New: {len(changed_files['new'])}, Modified: {len(changed_files['modified'])}, Deleted: {len(changed_files['deleted'])}"
-        )
-
-        # Load existing vector store if it exists
-        if os.path.exists(self.db_dir):
-            vectorstore = Chroma(
-                persist_directory=self.db_dir, embedding_function=self.ollama.embeddings
-            )
-
-            # 1. Handle deleted documents
-            if changed_files["deleted"]:
-                chunks_to_delete = self.tracker.get_chunks_to_delete(
-                    changed_files["deleted"]
-                )
-                if chunks_to_delete:
-                    print(
-                        f"Removing {len(chunks_to_delete)} chunks from deleted documents"
-                    )
-                    # Delete the chunks from vector store
-                    vectorstore._collection.delete(
-                        where={"chunk_id": {"$in": chunks_to_delete}}
+        # Process all files
+        all_documents = []
+        for file_path in all_files:
+            try:
+                with open(file_path, 'r', encoding='utf-8') as f:
+                    content = f.read()
+                    doc = Document(
+                        page_content=content,
+                        metadata={
+                            "source": os.path.abspath(file_path),
+                            "source_id": os.path.abspath(file_path)
+                        }
                     )
+                    all_documents.append(doc)
+                    print(f"Successfully loaded {file_path}")
+            except Exception as e:
+                print(f"Error loading file {file_path}: {str(e)}")
 
-            # 2. Handle modified documents (delete old chunks first)
-            chunks_to_delete_modified = self.tracker.get_chunks_for_modified_files(
-                changed_files["modified"]
+        if not all_documents:
+            print("No documents could be loaded")
+            return vectorstore
+
+        # Split documents
+        chunks = text_splitter.split_documents(all_documents)
+
+        if force_refresh:
+            # Create new vector store from scratch
+            vectorstore = Chroma.from_documents(
+                documents=chunks,
+                embedding=embeddings,
+                persist_directory=self.db_dir
             )
-            if chunks_to_delete_modified:
-                print(
-                    f"Removing {len(chunks_to_delete_modified)} chunks from modified documents"
-                )
-                vectorstore._collection.delete(
-                    where={"chunk_id": {"$in": chunks_to_delete_modified}}
-                )
-
-            # 3. Process new and modified documents
-            files_to_process = changed_files["new"] + changed_files["modified"]
-            if files_to_process:
-                chunks, _ = self.process_documents(files_to_process, text_splitter)
-                print(f"Adding {len(chunks)} new chunks to the vector store")
-                vectorstore.add_documents(chunks)
         else:
-            # If no existing DB, create from all documents
-            print("No existing vector database. Creating from all documents...")
-            return self.create_vector_db(force_refresh=True)
+            # Update existing vector store
+            # First, get all existing document IDs
+            existing_docs = vectorstore._collection.get()
+            existing_sources = {m["source"] for m in existing_docs["metadatas"]}
 
-        # Persist changes
-        vectorstore.persist()
-        print(f"Vector database updated at {self.db_dir}")
+            # Find new documents
+            new_chunks = [
+                chunk for chunk in chunks
+                if chunk.metadata["source"] not in existing_sources
+            ]
 
+            if new_chunks:
+                print(f"Adding {len(new_chunks)} new chunks to vector store")
+                vectorstore.add_documents(new_chunks)
+
+        print(f"Vector store updated with {len(chunks)} total chunks")
         return vectorstore
 
     def setup_rag(self):
diff --git a/tests/test_rag.py b/tests/test_rag.py
index 019bec5..c0bef74 100644
--- a/tests/test_rag.py
+++ b/tests/test_rag.py
@@ -1,11 +1,10 @@
 import os
-import pytest
 import shutil
-
-from langchain.text_splitter import RecursiveCharacterTextSplitter
+import pytest
 from langchain_chroma import Chroma
+from langchain.text_splitter import RecursiveCharacterTextSplitter
+
 from .fixtures import *
-from .utility import *
 from code_rag.rag import RAG
 from code_rag.doc_tracker import DocumentTracker
 from code_rag.ollama_wrapper import OllamaWrapper
@@ -52,18 +51,40 @@ def test_process_documents(tracker_file, docs_dir, db_dir, sample_docs, rag_pipe
 def test_create_vector_db(docs_dir, db_dir, tracker_file, sample_docs):
     """Test creating a vector database"""
     rag_pipeline = RAG(docs_dir, db_dir, tracker_file)
-    # Create initial vector database
+    
+    # Create files with different extensions
+    files = {
+        "test.py": "def hello():\n    print('Hello, World!')",
+        "main.cpp": "#include <iostream>\nint main() { std::cout << 'Hello'; return 0; }",
+        "lib.rs": "fn main() { println!('Hello from Rust!'); }",
+        "config.toml": "[package]\nname = 'test'",
+        "doc.md": "# Documentation\nThis is a test file."
+    }
+    
+    for filename, content in files.items():
+        filepath = os.path.join(docs_dir, filename)
+        with open(filepath, "w") as f:
+            f.write(content)
+
+    # Create vector database with default extensions (should include all file types)
     vectorstore = rag_pipeline.create_vector_db(force_refresh=True)
 
     # Verify it was created
     assert os.path.exists(rag_pipeline.db_dir)
     assert vectorstore is not None
-    # Check the database has content
+    
+    # Check the database has content from all file types
     loaded_db = Chroma(
-        persist_directory=rag_pipeline.db_dir,
-        embedding_function=rag_pipeline.ollama.embeddings,
+        persist_directory=rag_pipeline.db_dir, embedding_function=rag_pipeline.ollama.embeddings
     )
+    # Should have content from all files
     assert loaded_db._collection.count() > 0
+    
+    # Verify each file type is included
+    docs = loaded_db._collection.get()
+    sources = {os.path.basename(m["source"]) for m in docs["metadatas"]}
+    for filename in files.keys():
+        assert filename in sources, f"File {filename} not found in vector store"
 
 
 @pytest.mark.skipif(
@@ -72,45 +93,66 @@ def test_create_vector_db(docs_dir, db_dir, tracker_file, sample_docs):
 def test_update_vector_db_with_changes(docs_dir, db_dir, tracker_file, sample_docs):
     """Test updating a vector database with document changes"""
     rag_pipeline = RAG(docs_dir, db_dir, tracker_file)
-    # Create initial vector database
-    rag_pipeline.create_vector_db(force_refresh=True)
+    # Create initial vector database with only Python files
+    vectorstore = rag_pipeline.create_vector_db(extensions=['.py'], force_refresh=True)
 
     # Get initial count
     initial_db = Chroma(
-        persist_directory=rag_pipeline.db_dir,
-        embedding_function=rag_pipeline.ollama.embeddings,
+        persist_directory=rag_pipeline.db_dir, embedding_function=rag_pipeline.ollama.embeddings
     )
     initial_count = initial_db._collection.count()
 
     # Make changes to documents
-    # Add a new document
-    create_test_document(
-        docs_dir, "newdoc.txt", "This is a brand new document for testing."
-    )
+    # Add files of different types
+    new_files = {
+        "newdoc.cpp": "#include <iostream>\nint main() { return 0; }",
+        "lib.rs": "fn main() { println!('Hello'); }",
+        "config.toml": "[package]\nname = 'test'"
+    }
+    
+    for filename, content in new_files.items():
+        filepath = os.path.join(docs_dir, filename)
+        with open(filepath, "w") as f:
+            f.write(content)
 
-    # Update the vector database
-    rag_pipeline.create_vector_db()
+    # Update the vector database to include all supported extensions
+    rag_pipeline.create_vector_db()  # Use default extensions
 
     # Check the database has been updated
     updated_db = Chroma(
-        persist_directory=rag_pipeline.db_dir,
-        embedding_function=rag_pipeline.ollama.embeddings,
+        persist_directory=rag_pipeline.db_dir, embedding_function=rag_pipeline.ollama.embeddings
     )
     assert updated_db._collection.count() > initial_count
+    
+    # Verify new files are included
+    docs = updated_db._collection.get()
+    sources = {os.path.basename(m["source"]) for m in docs["metadatas"]}
+    for filename in new_files.keys():
+        assert filename in sources, f"File {filename} not found in vector store"
 
 
-# Final integration test - full RAG pipeline
 @pytest.mark.skipif(
     not shutil.which("ollama"), reason="Ollama not installed or not in PATH"
 )
 def test_full_rag_pipeline(docs_dir, db_dir, tracker_file, sample_docs):
     """Test the entire RAG pipeline from document processing to querying"""
     rag_pipeline = RAG(docs_dir, db_dir, tracker_file)
-    # Create a specific document with known content
-    test_content = "Python is a high-level programming language known for its readability and versatility."
-    create_test_document(rag_pipeline.docs_dir, "python_info.txt", test_content)
+    
+    # Create documents with mixed content types
+    test_files = {
+        "python_info.py": """# Python Information
+def describe_python():
+    \"\"\"Python is a high-level programming language known for its readability and versatility.\"\"\"
+    pass""",
+        "readme.md": "# Python\nPython is a popular programming language used in web development, data science, and automation."
+    }
+    
+    for filename, content in test_files.items():
+        filepath = os.path.join(rag_pipeline.docs_dir, filename)
+        with open(filepath, "w") as f:
+            f.write(content)
 
-    # Create vector database
+    # Create vector database with all default extensions
     rag_pipeline.create_vector_db(force_refresh=True)
 
     # Set up RAG
@@ -124,4 +166,3 @@ def test_full_rag_pipeline(docs_dir, db_dir, tracker_file, sample_docs):
     # This is a soft test since the exact response will depend on the LLM
     assert response.strip() != ""
     assert "programming" in response.lower() or "language" in response.lower()
-