diff --git a/poetry.lock b/poetry.lock
index ca8535c4..117d6462 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2,13 +2,13 @@
 
 [[package]]
 name = "accelerate"
-version = "0.28.0"
+version = "0.31.0"
 description = "Accelerate"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "accelerate-0.28.0-py3-none-any.whl", hash = "sha256:8ae25f8a8dc4cf12283842c469113836300545fb0dfa46fef331fb0a2ac8b421"},
-    {file = "accelerate-0.28.0.tar.gz", hash = "sha256:32019a49f4b3a85cc179ac4e38e9e2971f1a997dee026be0512816499464c4d5"},
+    {file = "accelerate-0.31.0-py3-none-any.whl", hash = "sha256:0fc608dc49584f64d04711a39711d73cb0ad4ef3d21cddee7ef2216e29471144"},
+    {file = "accelerate-0.31.0.tar.gz", hash = "sha256:b5199865b26106ccf9205acacbe8e4b3b428ad585e7c472d6a46f6fb75b6c176"},
 ]
 
 [package.dependencies]
@@ -21,14 +21,15 @@ safetensors = ">=0.3.1"
 torch = ">=1.10.0"
 
 [package.extras]
-dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "deepspeed (<0.13.0)", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.2.1,<0.3.0)", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+deepspeed = ["deepspeed (<=0.14.0)"]
+dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "diffusers", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.2.1,<0.3.0)", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
 quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.2.1,<0.3.0)"]
 rich = ["rich"]
 sagemaker = ["sagemaker"]
-test-dev = ["bitsandbytes", "datasets", "deepspeed (<0.13.0)", "evaluate", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+test-dev = ["bitsandbytes", "datasets", "diffusers", "evaluate", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
 test-prod = ["parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist"]
 test-trackers = ["comet-ml", "dvclive", "tensorboard", "wandb"]
-testing = ["bitsandbytes", "datasets", "deepspeed (<0.13.0)", "evaluate", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+testing = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
 
 [[package]]
 name = "aiofiles"
@@ -1279,13 +1280,13 @@ test = ["coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit",
 
 [[package]]
 name = "gradio"
-version = "4.29.0"
+version = "4.25.0"
 description = "Python library for easily interacting with trained machine learning models"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "gradio-4.29.0-py3-none-any.whl", hash = "sha256:1fbd8ee53aabf056ea726c674174f7bea20656ce6ff2611781ec036a76c2359a"},
-    {file = "gradio-4.29.0.tar.gz", hash = "sha256:d7b293d1bf6404efb12e0220c5fa708c44c3a1133869324f949bfb1e39095e3a"},
+    {file = "gradio-4.25.0-py3-none-any.whl", hash = "sha256:3e953bf14ada8ed31a839e349b094a2f3894d80272848d604f14dea857d08272"},
+    {file = "gradio-4.25.0.tar.gz", hash = "sha256:1b87cc817ebedcac6b2542d550e0c9f63472f9dafc85a21617c97b784c5646c2"},
 ]
 
 [package.dependencies]
@@ -1293,14 +1294,14 @@ aiofiles = ">=22.0,<24.0"
 altair = ">=4.2.0,<6.0"
 fastapi = "*"
 ffmpy = "*"
-gradio-client = "0.16.1"
+gradio-client = "0.15.0"
 httpx = ">=0.24.1"
 huggingface-hub = ">=0.19.3"
 importlib-resources = ">=1.3,<7.0"
 jinja2 = "<4.0"
 markupsafe = ">=2.0,<3.0"
 matplotlib = ">=3.0,<4.0"
-numpy = ">=1.0,<2.0"
+numpy = ">=1.0,<3.0"
 orjson = ">=3.0,<4.0"
 packaging = "*"
 pandas = ">=1.0,<3.0"
@@ -1322,13 +1323,13 @@ oauth = ["authlib", "itsdangerous"]
 
 [[package]]
 name = "gradio-client"
-version = "0.16.1"
+version = "0.15.0"
 description = "Python library for easily interacting with trained machine learning models"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "gradio_client-0.16.1-py3-none-any.whl", hash = "sha256:9da92f892d0f9e50a0a0eae7ff65aeeab0495919295dbc079703d1a99c13c980"},
-    {file = "gradio_client-0.16.1.tar.gz", hash = "sha256:28f6799366ca795fbd6ea72f328ee75ea2322417cf11d6a23ce825bca8954be1"},
+    {file = "gradio_client-0.15.0-py3-none-any.whl", hash = "sha256:3cf5f5fdf9225256856e03574148a0b7bd32d82da4b7c890d006db92f8bb3ebb"},
+    {file = "gradio_client-0.15.0.tar.gz", hash = "sha256:eb9533f6457cc158128dbf307c44a8123e41da18a040cb3dfa66860ba9029911"},
 ]
 
 [package.dependencies]
@@ -1534,18 +1535,20 @@ socks = ["socksio (==1.*)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.20.3"
+version = "0.23.3"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "huggingface_hub-0.20.3-py3-none-any.whl", hash = "sha256:d988ae4f00d3e307b0c80c6a05ca6dbb7edba8bba3079f74cda7d9c2e562a7b6"},
-    {file = "huggingface_hub-0.20.3.tar.gz", hash = "sha256:94e7f8e074475fbc67d6a71957b678e1b4a74ff1b64a644fd6cbb83da962d05d"},
+    {file = "huggingface_hub-0.23.3-py3-none-any.whl", hash = "sha256:22222c41223f1b7c209ae5511d2d82907325a0e3cdbce5f66949d43c598ff3bc"},
+    {file = "huggingface_hub-0.23.3.tar.gz", hash = "sha256:1a1118a0b3dea3bab6c325d71be16f5ffe441d32f3ac7c348d6875911b694b5b"},
 ]
 
 [package.dependencies]
+aiohttp = {version = "*", optional = true, markers = "extra == \"inference\""}
 filelock = "*"
 fsspec = ">=2023.5.0"
+minijinja = {version = ">=1.0", optional = true, markers = "extra == \"inference\""}
 packaging = ">=20.9"
 pyyaml = ">=5.1"
 requests = "*"
@@ -1553,15 +1556,17 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
-inference = ["aiohttp", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)"]
-quality = ["mypy (==1.5.1)", "ruff (>=0.1.3)"]
+hf-transfer = ["hf-transfer (>=0.1.4)"]
+inference = ["aiohttp", "minijinja (>=1.0)"]
+quality = ["mypy (==1.5.1)", "ruff (>=0.3.0)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
-torch = ["torch"]
+tensorflow-testing = ["keras (<3.0)", "tensorflow"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+torch = ["safetensors", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
 [[package]]
@@ -1611,13 +1616,14 @@ description = "Intel OpenMP* Runtime Library"
 optional = false
 python-versions = "*"
 files = [
-    {file = "intel_openmp-2021.4.0-py2.py3-none-macosx_10_15_x86_64.macosx_11_0_x86_64.whl", hash = "sha256:41c01e266a7fdb631a7609191709322da2bbf24b252ba763f125dd651bcc7675"},
-    {file = "intel_openmp-2021.4.0-py2.py3-none-manylinux1_i686.whl", hash = "sha256:3b921236a38384e2016f0f3d65af6732cf2c12918087128a9163225451e776f2"},
-    {file = "intel_openmp-2021.4.0-py2.py3-none-manylinux1_x86_64.whl", hash = "sha256:e2240ab8d01472fed04f3544a878cda5da16c26232b7ea1b59132dbfb48b186e"},
-    {file = "intel_openmp-2021.4.0-py2.py3-none-win32.whl", hash = "sha256:6e863d8fd3d7e8ef389d52cf97a50fe2afe1a19247e8c0d168ce021546f96fc9"},
-    {file = "intel_openmp-2021.4.0-py2.py3-none-win_amd64.whl", hash = "sha256:eef4c8bcc8acefd7f5cd3b9384dbf73d59e2c99fc56545712ded913f43c4a94f"},
+    {file = "importlib_resources-6.1.2-py3-none-any.whl", hash = "sha256:9a0a862501dc38b68adebc82970140c9e4209fc99601782925178f8386339938"},
+    {file = "importlib_resources-6.1.2.tar.gz", hash = "sha256:308abf8474e2dba5f867d279237cd4076482c3de7104a40b41426370e891549b"},
 ]
 
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1)", "zipp (>=3.17)"]
+
 [[package]]
 name = "ipykernel"
 version = "6.29.4"
@@ -1977,22 +1983,19 @@ files = [
 
 [[package]]
 name = "langchain"
-version = "0.1.14"
+version = "0.2.3"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain-0.1.14-py3-none-any.whl", hash = "sha256:94f9b5df2421faaf762d4f43b9d65c270c2f701934580d281e4c6226deef7234"},
-    {file = "langchain-0.1.14.tar.gz", hash = "sha256:124c6244cf3957616b98f2df07dc2992fc40dff6ed1a62d8ee8a40f1e0260a40"},
+    {file = "langchain-0.2.3-py3-none-any.whl", hash = "sha256:5dc33cd9c8008693d328b7cb698df69073acecc89ad9c2a95f243b3314f8d834"},
+    {file = "langchain-0.2.3.tar.gz", hash = "sha256:81962cc72cce6515f7bd71e01542727870789bf8b666c6913d85559080c1a201"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
-dataclasses-json = ">=0.5.7,<0.7"
-jsonpatch = ">=1.33,<2.0"
-langchain-community = ">=0.0.30,<0.1"
-langchain-core = ">=0.1.37,<0.2.0"
-langchain-text-splitters = ">=0.0.1,<0.1"
+langchain-core = ">=0.2.0,<0.3.0"
+langchain-text-splitters = ">=0.2.0,<0.3.0"
 langsmith = ">=0.1.17,<0.2.0"
 numpy = ">=1,<2"
 pydantic = ">=1,<3"
@@ -2001,35 +2004,22 @@ requests = ">=2,<3"
 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-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,<6)"]
-docarray = ["docarray[hnswlib] (>=0.32.0,<0.33.0)"]
-embeddings = ["sentence-transformers (>=2,<3)"]
-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,<6)", "couchbase (>=4.1.9,<5.0.0)", "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)", "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)", "langchain-openai (>=0.0.2,<0.1)", "lxml (>=4.9.3,<6.0)", "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)", "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)", "upstash-redis (>=0.15.0,<0.16.0)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)"]
-javascript = ["esprima (>=4.0.1,<5.0.0)"]
-llms = ["clarifai (>=9.1.0)", "cohere (>=4,<6)", "huggingface_hub (>=0,<1)", "manifest-ml (>=0.0.1,<0.0.2)", "nlpcloud (>=1,<2)", "openai (<2)", "openlm (>=0.0.5,<0.0.6)", "torch (>=1,<3)", "transformers (>=4,<5)"]
-openai = ["openai (<2)", "tiktoken (>=0.3.2,<0.6.0)"]
-qdrant = ["qdrant-client (>=1.3.1,<2.0.0)"]
-text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
-
 [[package]]
 name = "langchain-community"
-version = "0.0.31"
+version = "0.2.4"
 description = "Community contributed LangChain integrations."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_community-0.0.31-py3-none-any.whl", hash = "sha256:905c01b978a1cef7fdcddd2d9241dedc9987db6f23ba1b58d974e38b1cdf2775"},
-    {file = "langchain_community-0.0.31.tar.gz", hash = "sha256:9a970bc2bb59bb4c204b696d8c62c2534f6ddb31005005cc1b7d7f934e58a5fc"},
+    {file = "langchain_community-0.2.4-py3-none-any.whl", hash = "sha256:8582e9800f4837660dc297cccd2ee1ddc1d8c440d0fe8b64edb07620f0373b0e"},
+    {file = "langchain_community-0.2.4.tar.gz", hash = "sha256:2bb6a1a36b8500a564d25d76469c02457b1a7c3afea6d4a609a47c06b993e3e4"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
 dataclasses-json = ">=0.5.7,<0.7"
-langchain-core = ">=0.1.37,<0.2.0"
+langchain = ">=0.2.0,<0.3.0"
+langchain-core = ">=0.2.0,<0.3.0"
 langsmith = ">=0.1.0,<0.2.0"
 numpy = ">=1,<2"
 PyYAML = ">=5.3"
@@ -2037,19 +2027,15 @@ requests = ">=2,<3"
 SQLAlchemy = ">=1.4,<3"
 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)", "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 (>=4.9.3,<6.0)", "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)", "premai (>=0.3.25,<0.4.0)", "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)", "vdms (>=0.0.20,<0.0.21)", "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 = "0.1.52"
+version = "0.1.38"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_core-0.1.52-py3-none-any.whl", hash = "sha256:62566749c92e8a1181c255c788548dc16dbc319d896cd6b9c95dc17af9b2a6db"},
-    {file = "langchain_core-0.1.52.tar.gz", hash = "sha256:084c3fc452f5a6966c28ab3ec5dbc8b8d26fc3f63378073928f4e29d90b6393f"},
+    {file = "langchain_core-0.1.38-py3-none-any.whl", hash = "sha256:d881b2754254cb4bdb0d5bb56e5c138d032b6e75e5cb21f151b01224b322e02b"},
+    {file = "langchain_core-0.1.38.tar.gz", hash = "sha256:ee8da6d061c06cce7dc22fec224b6ecbc3a8de106d6dd9f409c7fe448ea41861"},
 ]
 
 [package.dependencies]
@@ -2065,20 +2051,20 @@ extended-testing = ["jinja2 (>=3,<4)"]
 
 [[package]]
 name = "langchain-text-splitters"
-version = "0.0.1"
+version = "0.2.1"
 description = "LangChain text splitting utilities"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 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"},
+    {file = "langchain_text_splitters-0.2.1-py3-none-any.whl", hash = "sha256:c2774a85f17189eaca50339629d2316d13130d4a8d9f1a1a96f3a03670c4a138"},
+    {file = "langchain_text_splitters-0.2.1.tar.gz", hash = "sha256:06853d17d7241ecf5c97c7b6ef01f600f9b0fb953dd997838142a527a4f32ea4"},
 ]
 
 [package.dependencies]
-langchain-core = ">=0.1.28,<0.2.0"
+langchain-core = ">=0.2.0,<0.3.0"
 
 [package.extras]
-extended-testing = ["lxml (>=5.1.0,<6.0.0)"]
+extended-testing = ["beautifulsoup4 (>=4.12.3,<5.0.0)", "lxml (>=4.9.3,<6.0)"]
 
 [[package]]
 name = "langsmith"
@@ -2098,12 +2084,12 @@ requests = ">=2,<3"
 
 [[package]]
 name = "llama-cpp-python"
-version = "0.2.72"
+version = "0.2.58"
 description = "Python bindings for the llama.cpp library"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "llama_cpp_python-0.2.72.tar.gz", hash = "sha256:7da4957043927f73d4425c919c843581e5a3ceb5e65cafbc29bfb45703814a56"},
+    {file = "llama_cpp_python-0.2.58.tar.gz", hash = "sha256:50d4d16835326b15f5c4ed20dbf2f24508bf29b34531d50612ce215a596dde3f"},
 ]
 
 [package.dependencies]
@@ -2120,19 +2106,19 @@ test = ["httpx (>=0.24.1)", "pytest (>=7.4.0)", "scipy (>=1.10)"]
 
 [[package]]
 name = "llama-index"
-version = "0.10.36"
+version = "0.10.26"
 description = "Interface between LLMs and your data"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index-0.10.36-py3-none-any.whl", hash = "sha256:e57779f332323b00576cf9e8fee0ab5b978aaf35902288691da01a7839b99e58"},
-    {file = "llama_index-0.10.36.tar.gz", hash = "sha256:275309a2317e9279b296e552c334e566c4f011223f6ed39e342f5264a05c4d9a"},
+    {file = "llama_index-0.10.26-py3-none-any.whl", hash = "sha256:25a3f8c9f63fbdaaf3d760ce59c5dad8afc5cf40431e9e6a28e02b92a820d450"},
+    {file = "llama_index-0.10.26.tar.gz", hash = "sha256:5a6036bcb2449277ede3244cfa1b49d9fab5dba30ad8b212c2df92449cfa7d48"},
 ]
 
 [package.dependencies]
 llama-index-agent-openai = ">=0.1.4,<0.3.0"
 llama-index-cli = ">=0.1.2,<0.2.0"
-llama-index-core = ">=0.10.35,<0.11.0"
+llama-index-core = ">=0.10.26,<0.11.0"
 llama-index-embeddings-openai = ">=0.1.5,<0.2.0"
 llama-index-indices-managed-llama-cloud = ">=0.1.2,<0.2.0"
 llama-index-legacy = ">=0.9.48,<0.10.0"
@@ -2177,13 +2163,13 @@ llama-index-llms-openai = ">=0.1.1,<0.2.0"
 
 [[package]]
 name = "llama-index-core"
-version = "0.10.36"
+version = "0.10.26"
 description = "Interface between LLMs and your data"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_core-0.10.36-py3-none-any.whl", hash = "sha256:a6e8ea790e5b3656a254d9b47f8c00044dd46aae1cd43004c5d1303a7502b3e6"},
-    {file = "llama_index_core-0.10.36.tar.gz", hash = "sha256:02f06bdefb5c6fd11dee1f65007a98decf3b266ad76136b7cfd3bec44efc5493"},
+    {file = "llama_index_core-0.10.26-py3-none-any.whl", hash = "sha256:e08886b9d353fb45f63d0011e78326627f1ee5c7761585fdd85a9a0dfdbf0365"},
+    {file = "llama_index_core-0.10.26.tar.gz", hash = "sha256:8ea27093a053aed79b7b5d80694152066ddaa5b70116308d48db382c76367a87"},
 ]
 
 [package.dependencies]
@@ -2211,13 +2197,21 @@ typing-extensions = ">=4.5.0"
 typing-inspect = ">=0.8.0"
 wrapt = "*"
 
-[package.extras]
-gradientai = ["gradientai (>=1.4.0)"]
-html = ["beautifulsoup4 (>=4.12.2,<5.0.0)"]
-langchain = ["langchain (>=0.0.303)"]
-local-models = ["optimum[onnxruntime] (>=1.13.2,<2.0.0)", "sentencepiece (>=0.1.99,<0.2.0)", "transformers[torch] (>=4.33.1,<5.0.0)"]
-postgres = ["asyncpg (>=0.29.0,<0.30.0)", "pgvector (>=0.2.4,<0.3.0)", "psycopg2-binary (>=2.9.9,<3.0.0)"]
-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 = "llama-index-embeddings-huggingface"
+version = "0.2.1"
+description = "llama-index embeddings huggingface integration"
+optional = false
+python-versions = "<4.0,>=3.8.1"
+files = [
+    {file = "llama_index_embeddings_huggingface-0.2.1-py3-none-any.whl", hash = "sha256:326468966e269acc7fbc77cad4f65ec061133ea91b0063fe181e72d01a6a8511"},
+    {file = "llama_index_embeddings_huggingface-0.2.1.tar.gz", hash = "sha256:bac68a13ad5131a055da3ef174cca70e15230426eec7d471b372e81e8489d888"},
+]
+
+[package.dependencies]
+huggingface-hub = {version = ">=0.19.0", extras = ["inference"]}
+llama-index-core = ">=0.10.1,<0.11.0"
+sentence-transformers = ">=2.6.1,<3.0.0"
 
 [[package]]
 name = "llama-index-embeddings-langchain"
@@ -2320,19 +2314,18 @@ llama-index-llms-openai = ">=0.1.1,<0.2.0"
 
 [[package]]
 name = "llama-index-llms-huggingface"
-version = "0.1.5"
+version = "0.1.4"
 description = "llama-index llms huggingface integration"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_llms_huggingface-0.1.5-py3-none-any.whl", hash = "sha256:552d60ba2620e28aa6b5a813747583021620abaf49a4f95b368120fd776e7ca9"},
-    {file = "llama_index_llms_huggingface-0.1.5.tar.gz", hash = "sha256:2a8fe9355b7283bea3638ffbaff60010381e16efd3c9fe42071dca0b512a03d4"},
+    {file = "llama_index_llms_huggingface-0.1.4-py3-none-any.whl", hash = "sha256:4cff9a7e4a2bd1197a9653dc00ed8b9bdd1f83f7e3f89c2dbed433278bd85858"},
+    {file = "llama_index_llms_huggingface-0.1.4.tar.gz", hash = "sha256:b2c09671bcfea22d55b74453958262b042f8cc48bab1b660e15fd4c7f1808fd6"},
 ]
 
 [package.dependencies]
 huggingface-hub = ">=0.20.3,<0.21.0"
 llama-index-core = ">=0.10.1,<0.11.0"
-text-generation = ">=0.7.0,<0.8.0"
 torch = ">=2.1.2,<3.0.0"
 transformers = {version = ">=4.37.0,<5.0.0", extras = ["torch"]}
 
@@ -2351,15 +2344,29 @@ files = [
 llama-cpp-python = ">=0.2.32,<0.3.0"
 llama-index-core = ">=0.10.1,<0.11.0"
 
+[[package]]
+name = "llama-index-llms-ollama"
+version = "0.1.5"
+description = "llama-index llms ollama integration"
+optional = false
+python-versions = "<4.0,>=3.8.1"
+files = [
+    {file = "llama_index_llms_ollama-0.1.5-py3-none-any.whl", hash = "sha256:8e237978765458c9b175d2e25fc25162df8dc70a538b1b9ef9ea18617f8cdf5a"},
+    {file = "llama_index_llms_ollama-0.1.5.tar.gz", hash = "sha256:75697d96c860d87e80cce90c9ea425cbd236918458e0feaaee03597068ba9844"},
+]
+
+[package.dependencies]
+llama-index-core = ">=0.10.1,<0.11.0"
+
 [[package]]
 name = "llama-index-llms-openai"
-version = "0.1.18"
+version = "0.1.14"
 description = "llama-index llms openai integration"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_llms_openai-0.1.18-py3-none-any.whl", hash = "sha256:934cf72d10385f1c76c0183b0e94ce1850fab1026287e01b7db0a14c946dfd79"},
-    {file = "llama_index_llms_openai-0.1.18.tar.gz", hash = "sha256:8cb7546a1885ba558ff580b114d638569a0aed81a264961114e719bc42b37100"},
+    {file = "llama_index_llms_openai-0.1.14-py3-none-any.whl", hash = "sha256:13cec467962a6ccb9e63451c7febe8e9c2ed536bd6b1058239c2b4fd86776060"},
+    {file = "llama_index_llms_openai-0.1.14.tar.gz", hash = "sha256:7eba66882ae84fa42b188941234b84267c48e449ef214f511756dcad3f9f0b62"},
 ]
 
 [package.dependencies]
@@ -2414,18 +2421,19 @@ llama-index-program-openai = ">=0.1.1,<0.2.0"
 
 [[package]]
 name = "llama-index-readers-file"
-version = "0.1.22"
+version = "0.1.13"
 description = "llama-index readers file integration"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_readers_file-0.1.22-py3-none-any.whl", hash = "sha256:a8d4a69a9ea659c14ebb22ca9a5560b9c7ec6f501e7f68f6c52f591374165376"},
-    {file = "llama_index_readers_file-0.1.22.tar.gz", hash = "sha256:37de54ad0cfbdc607c195532b9a292417a4714f57773570b87027b8dc381f0e2"},
+    {file = "llama_index_readers_file-0.1.13-py3-none-any.whl", hash = "sha256:692988b8c3ca2807d21a171351078b634ada2ff1682ebe4a484f82da384dfc55"},
+    {file = "llama_index_readers_file-0.1.13.tar.gz", hash = "sha256:830f06ec7b34437fc3bb5f268d235c5c7640296adb148d8f92277dceb7f0846d"},
 ]
 
 [package.dependencies]
 beautifulsoup4 = ">=4.12.3,<5.0.0"
 llama-index-core = ">=0.10.1,<0.11.0"
+pymupdf = ">=1.23.21,<2.0.0"
 pypdf = ">=4.0.1,<5.0.0"
 striprtf = ">=0.0.26,<0.0.27"
 
@@ -2461,7 +2469,24 @@ files = [
 
 [package.dependencies]
 llama-index-core = ">=0.10.7,<0.11.0"
-llama-parse = ">=0.4.0,<0.5.0"
+llama-parse = ">=0.3.3,<0.4.0"
+
+[[package]]
+name = "llama-index-vector-stores-chroma"
+version = "0.1.4"
+description = "llama-index vector_stores chroma integration"
+optional = false
+python-versions = ">=3.8.1,<4.0"
+files = [
+    {file = "llama_index_vector_stores_chroma-0.1.4-py3-none-any.whl", hash = "sha256:f475a450431ee4d9b2915ba9da2112dfdfacaee1ea220b8603720be1c116786c"},
+    {file = "llama_index_vector_stores_chroma-0.1.4.tar.gz", hash = "sha256:7364f2a3f8a51b83d350da39da7e7046704cfa9c848ebe8fd1c6cb39ad4878f9"},
+]
+
+[package.dependencies]
+chromadb = ">=0.4.22,<0.5.0"
+llama-index-core = ">=0.10.1,<0.11.0"
+onnxruntime = ">=1.17.0,<2.0.0"
+tokenizers = ">=0.15.1,<0.16.0"
 
 [[package]]
 name = "llama-parse"
@@ -2496,7 +2521,7 @@ pydantic = ">=1.10"
 name = "markdown-it-py"
 version = "3.0.0"
 description = "Python port of markdown-it. Markdown parsing, done right!"
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "markdown-it-py-3.0.0.tar.gz", hash = "sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb"},
@@ -2670,13 +2695,30 @@ traitlets = "*"
 name = "mdurl"
 version = "0.1.2"
 description = "Markdown URL utilities"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
     {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
 ]
 
+[[package]]
+name = "minijinja"
+version = "2.0.1"
+description = "An experimental Python binding of the Rust MiniJinja template engine."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "minijinja-2.0.1-cp38-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:063b291cb31f5c33eb77bb4cb457f67f14426ca1418232b8ae9f267155d330cc"},
+    {file = "minijinja-2.0.1-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4a4e9d639dd89ce7fef86e82147082ab3c248a36950fa3fbe793685ba322c1b7"},
+    {file = "minijinja-2.0.1-cp38-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:a20373af4ee5430356c196c7fe5f19e3261a4fa16c944542b4de7a2349bac7a6"},
+    {file = "minijinja-2.0.1-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ade637bf4826258811a785ccc4e5d41cd2bdf4ec317b1ed3daa4dbbdd020f37d"},
+    {file = "minijinja-2.0.1-cp38-abi3-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d5ec956d777e0fee8e214af48363334c04f098e986038a9e8cb92a0564f81943"},
+    {file = "minijinja-2.0.1-cp38-abi3-win32.whl", hash = "sha256:039f4d1a1a73f90917cff1ed7c617eb56e2b2f91bbbdc551adaa448e1673e5c2"},
+    {file = "minijinja-2.0.1-cp38-abi3-win_amd64.whl", hash = "sha256:dca5d7689905dce340e36e47348b505c788daf297253b85a1aff506ea63ad1b8"},
+    {file = "minijinja-2.0.1.tar.gz", hash = "sha256:e774beffebfb8a1ad17e638ef70917cf5e94593f79acb8a8fff7d983169f3a4e"},
+]
+
 [[package]]
 name = "mistune"
 version = "3.0.2"
@@ -2706,6 +2748,24 @@ files = [
 intel-openmp = "==2021.*"
 tbb = "==2021.*"
 
+[[package]]
+name = "mkl"
+version = "2021.4.0"
+description = "Intel® oneAPI Math Kernel Library"
+optional = false
+python-versions = "*"
+files = [
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+tbb = "==2021.*"
+
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 version = "1.3.0"
@@ -3232,13 +3292,13 @@ files = [
 
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-version = "1.28.0"
+version = "1.16.0"
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 description = "Pygments is a syntax highlighting package written in Python."
 optional = true
-python-versions = ">=3.8"
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-python-versions = ">=3.7"
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 version = "13.7.1"
 description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
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 version = "1.5.4"
 description = "Tool to Detect Surrounding Shell"
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 [[package]]
 name = "smmap"
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 [package.extras]
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-test = ["pytest", "tornado (>=4.5)", "typeguard"]
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-pydantic = ">2,<3"
+doc = ["reno", "sphinx", "tornado (>=4.5)"]
 
 [[package]]
 name = "threadpoolctl"
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 ]
 
 [package.dependencies]
@@ -5219,31 +5262,36 @@ files = [
 
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-version = "2.3.0"
+version = "2.2.2"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -5264,7 +5312,7 @@ nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"
 nvidia-nccl-cu12 = {version = "2.20.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 sympy = "*"
-triton = {version = "2.3.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.12\""}
+triton = {version = "2.2.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.12\""}
 typing-extensions = ">=4.8.0"
 
 [package.extras]
@@ -5273,22 +5321,22 @@ optree = ["optree (>=0.9.1)"]
 
 [[package]]
 name = "tornado"
-version = "6.4"
+version = "6.4.1"
 description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
 optional = true
-python-versions = ">= 3.8"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -5328,19 +5376,19 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,
 
 [[package]]
 name = "transformers"
-version = "4.40.2"
+version = "4.39.2"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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 ]
 
 [package.dependencies]
 accelerate = {version = ">=0.21.0", optional = true, markers = "extra == \"torch\""}
 filelock = "*"
-huggingface-hub = ">=0.19.3,<1.0"
+huggingface-hub = ">=0.23.0,<1.0"
 numpy = ">=1.17"
 packaging = ">=20.0"
 pyyaml = ">=5.1"
@@ -5354,15 +5402,15 @@ tqdm = ">=4.27"
 [package.extras]
 accelerate = ["accelerate (>=0.21.0)"]
 agents = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch"]
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 audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 codecarbon = ["codecarbon (==1.2.0)"]
 deepspeed = ["accelerate (>=0.21.0)", "deepspeed (>=0.9.3)"]
 deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.21.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
-dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
-dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.19,<0.20)", "urllib3 (<2.0.0)"]
-dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
-docs = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "hf-doc-builder", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision"]
+dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.14,<0.19)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.14,<0.19)", "urllib3 (<2.0.0)"]
+dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm", "tokenizers (>=0.14,<0.19)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+docs = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "hf-doc-builder", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm", "tokenizers (>=0.14,<0.19)", "torch", "torchaudio", "torchvision"]
 docs-specific = ["hf-doc-builder"]
 flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)"]
 flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
@@ -5374,7 +5422,7 @@ natten = ["natten (>=0.14.6,<0.15.0)"]
 onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
 onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
 optuna = ["optuna"]
-quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "ruff (==0.1.5)", "urllib3 (<2.0.0)"]
+quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "isort (>=5.5.4)", "ruff (==0.1.5)", "urllib3 (<2.0.0)"]
 ray = ["ray[tune] (>=2.7.0)"]
 retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
 sagemaker = ["sagemaker (>=2.31.0)"]
@@ -5383,7 +5431,7 @@ serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
 sigopt = ["sigopt"]
 sklearn = ["scikit-learn"]
 speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
-testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
+testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "tensorboard", "timeout-decorator"]
 tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
@@ -5392,23 +5440,23 @@ tokenizers = ["tokenizers (>=0.19,<0.20)"]
 torch = ["accelerate (>=0.21.0)", "torch"]
 torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
 torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
-torchhub = ["filelock", "huggingface-hub (>=0.19.3,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.19,<0.20)", "torch", "tqdm (>=4.27)"]
+torchhub = ["filelock", "huggingface-hub (>=0.19.3,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.14,<0.19)", "torch", "tqdm (>=4.27)"]
 video = ["av (==9.2.0)", "decord (==0.6.0)"]
 vision = ["Pillow (>=10.0.1,<=15.0)"]
 
 [[package]]
 name = "triton"
-version = "2.3.0"
+version = "2.2.0"
 description = "A language and compiler for custom Deep Learning operations"
 optional = false
 python-versions = "*"
 files = [
-    {file = "triton-2.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5ce4b8ff70c48e47274c66f269cce8861cf1dc347ceeb7a67414ca151b1822d8"},
-    {file = "triton-2.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3c3d9607f85103afdb279938fc1dd2a66e4f5999a58eb48a346bd42738f986dd"},
-    {file = "triton-2.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:218d742e67480d9581bafb73ed598416cc8a56f6316152e5562ee65e33de01c0"},
-    {file = "triton-2.3.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:381ec6b3dac06922d3e4099cfc943ef032893b25415de295e82b1a82b0359d2c"},
-    {file = "triton-2.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:038e06a09c06a164fef9c48de3af1e13a63dc1ba3c792871e61a8e79720ea440"},
-    {file = "triton-2.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6d8f636e0341ac348899a47a057c3daea99ea7db31528a225a3ba4ded28ccc65"},
+    {file = "triton-2.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a2294514340cfe4e8f4f9e5c66c702744c4a117d25e618bd08469d0bfed1e2e5"},
+    {file = "triton-2.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da58a152bddb62cafa9a857dd2bc1f886dbf9f9c90a2b5da82157cd2b34392b0"},
+    {file = "triton-2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0af58716e721460a61886668b205963dc4d1e4ac20508cc3f623aef0d70283d5"},
+    {file = "triton-2.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e8fe46d3ab94a8103e291bd44c741cc294b91d1d81c1a2888254cbf7ff846dab"},
+    {file = "triton-2.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b8ce26093e539d727e7cf6f6f0d932b1ab0574dc02567e684377630d86723ace"},
+    {file = "triton-2.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:227cc6f357c5efcb357f3867ac2a8e7ecea2298cd4606a8ba1e931d1d5a947df"},
 ]
 
 [package.dependencies]
@@ -5423,8 +5471,8 @@ tutorials = ["matplotlib", "pandas", "tabulate", "torch"]
 name = "typer"
 version = "0.12.3"
 description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
-optional = true
-python-versions = ">=3.7"
+optional = false
+python-versions = ">=3.6"
 files = [
     {file = "typer-0.12.3-py3-none-any.whl", hash = "sha256:070d7ca53f785acbccba8e7d28b08dcd88f79f1fbda035ade0aecec71ca5c914"},
     {file = "typer-0.12.3.tar.gz", hash = "sha256:49e73131481d804288ef62598d97a1ceef3058905aa536a1134f90891ba35482"},
@@ -5937,4 +5985,4 @@ llama-index-notebooks = ["bitsandbytes", "gradio", "ipykernel", "nbconvert"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.11,<3.12"
-content-hash = "f78744285bbbab25c9333228d7fc038ab129770496c31fc8c2c473aab138c6de"
+content-hash = "d68da9e2069f2fdc8281bc791be534d9d5db56fccbf7fb99529fb8a2ae2a20a2"
diff --git a/pyproject.toml b/pyproject.toml
index 989e9892..6395eabf 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,7 +1,7 @@
 [tool.poetry]
 name = "reginald"
 version= " 0.1.0"
-description = "A Slack bot for REG Hack Week 2023"
+description = "A Slack bot from REG Hack Week 2023 & 2024"
 authors = ["Evelina Gabasova <evelina@evelinag.com>",
            "James Robinson <jrobinson@turing.ac.uk>",
            "Ryan Chan <rchan@turing.ac.uk>",
@@ -17,41 +17,44 @@ readme = "README.md"
 
 [tool.poetry.dependencies]
 python = ">=3.11,<3.12"
-accelerate = "^0.28.0"
+accelerate = "^0.31.0"
 bitsandbytes = { version="^0.41.1", optional=true }
 datasets = { version="^2.16.1", optional=true }
 faiss-cpu = { version="^1.7.4", optional=true }
 fastapi = { version="^0.110.1", optional=true }
 gitpython = "^3.1.43"
-gradio = { version="^4.25.0", optional=true }
+gradio = { version="^4.36.0", optional=true }
 httpx = "^0.27.0"
 ipykernel = { version="^6.23.2", optional=true }
-langchain = "^0.1.14"
-llama-cpp-python = "^0.2.58"
-llama-index = "^0.10.26"
+langchain = "^0.2.3"
+llama-cpp-python = "^0.2.77"
+llama-index = "^0.10.43"
 nbconvert = { version="^7.8.0", optional=true }
 nest_asyncio = "^1.6.0"
-openai = "^1.16.0"
-pandas = "^2.2.1"
+openai = "^1.33.0"
+pandas = "^2.2.2"
 pulumi = { version="^3.100.0", optional=true }
 pulumi-azure-native = { version="^2.24.0", optional=true }
 pydantic = { version="^2.4.1", optional=true }
-requests = { version="^2.31.0", optional=true }
-safetensors = "^0.4.2"
-slack-sdk = "^3.26.1"
-sentence-transformers = "^2.6.1"
-torch = "^2.2.2"
-transformers = "^4.39.2"
+requests = { version="^2.32.3", optional=true }
+safetensors = "^0.4.3"
+slack-sdk = "^3.27.2"
+sentence-transformers = "2.*"
+torch = "^2.3.1"
+transformers = "^4.41.2"
 uvicorn = { version="^0.23.2", optional=true }
-llama-index-readers-github = "^0.1.7"
-llama-index-llms-azure-openai = "^0.1.5"
-llama-index-llms-openai = "^0.1.14"
-llama-index-llms-huggingface = "^0.1.4"
+llama-index-readers-github = "^0.1.9"
+llama-index-llms-azure-openai = "^0.1.8"
+llama-index-llms-openai = "^0.1.22"
+llama-index-llms-huggingface = "^0.2.3"
+llama-index-llms-ollama = "^0.1.5"
 llama-index-llms-llama-cpp = "^0.1.3"
-llama-index-readers-file = "^0.1.13"
+llama-index-readers-file = "^0.1.23"
 llama-index-embeddings-langchain = "^0.1.2"
-langchain-community = "^0.0.31"
-tiktoken = "^0.6.0"
+langchain-community = "^0.2.4"
+tiktoken = "^0.7.0"
+llama-index-embeddings-huggingface = "^0.2.1"
+
 
 [tool.poetry.group.dev.dependencies]
 black = "^24.3.0"
diff --git a/reginald/models/models/__init__.py b/reginald/models/models/__init__.py
index 3987d021..561b750c 100644
--- a/reginald/models/models/__init__.py
+++ b/reginald/models/models/__init__.py
@@ -8,6 +8,7 @@
     LlamaIndexGPTOpenAI,
     LlamaIndexHF,
     LlamaIndexLlamaCPP,
+    LlamaIndexOllama,
 )
 
 # Please ensure that any models needing OPENAI_API_KEY are named *openai*
@@ -16,6 +17,7 @@
     "chat-completion-azure": ChatCompletionAzure,
     "chat-completion-openai": ChatCompletionOpenAI,
     "hello": Hello,
+    "llama-index-ollama": LlamaIndexOllama,
     "llama-index-llama-cpp": LlamaIndexLlamaCPP,
     "llama-index-hf": LlamaIndexHF,
     "llama-index-gpt-azure": LlamaIndexGPTAzure,
@@ -26,6 +28,7 @@
     "chat-completion-azure": "reginald-curie",
     "chat-completion-openai": "gpt-3.5-turbo",
     "hello": None,
+    "llama-index-ollama": "llama3",
     "llama-index-llama-cpp": "https://huggingface.co/TheBloke/Llama-2-13B-chat-GGUF/resolve/main/llama-2-13b-chat.Q6_K.gguf",
     "llama-index-hf": "microsoft/phi-1_5",
     "llama-index-gpt-azure": "reginald-gpt35-turbo",
diff --git a/reginald/models/models/llama_index.py b/reginald/models/models/llama_index.py
index cfaef138..36c10a7a 100644
--- a/reginald/models/models/llama_index.py
+++ b/reginald/models/models/llama_index.py
@@ -13,7 +13,6 @@
 import pandas as pd
 from git import Repo
 from httpx import HTTPError
-from langchain_community.embeddings import HuggingFaceEmbeddings
 from llama_index.core import (
     Document,
     PromptHelper,
@@ -28,9 +27,11 @@
 from llama_index.core.base.llms.base import BaseLLM
 from llama_index.core.base.response.schema import RESPONSE_TYPE
 from llama_index.core.settings import _Settings
+from llama_index.embeddings.huggingface import HuggingFaceEmbedding
 from llama_index.llms.azure_openai import AzureOpenAI
 from llama_index.llms.huggingface import HuggingFaceLLM
 from llama_index.llms.llama_cpp import LlamaCPP
+from llama_index.llms.ollama import Ollama
 from llama_index.llms.openai import OpenAI
 from llama_index.readers.github import (
     GithubClient,
@@ -131,9 +132,9 @@ def setup_settings(
     )
 
     # initialise embedding model to use to create the index vectors
-    embed_model = HuggingFaceEmbeddings(
+    embed_model = HuggingFaceEmbedding(
         model_name="sentence-transformers/all-mpnet-base-v2",
-        encode_kwargs={"batch_size": 128},
+        embed_batch_size=128,
     )
 
     # construct the prompt helper
@@ -150,6 +151,7 @@ def setup_settings(
     logging.info(f"Settings llm: {llm}")
     Settings.embed_model = embed_model
     logging.info(f"Settings embed_model: {embed_model}")
+    logging.info(f"Embedding model initialised on device {embed_model._device}")
     Settings.prompt_helper = prompt_helper
     logging.info(f"Settings prompt_helper: {prompt_helper}")
     Settings.chunk_size = chunk_size
@@ -827,6 +829,46 @@ def channel_mention(self, message: str, user_id: str) -> MessageResponse:
         return self._respond(message=message, user_id=user_id)
 
 
+class LlamaIndexOllama(LlamaIndex):
+    def __init__(
+        self,
+        model_name: str,
+        *args: Any,
+        **kwargs: Any,
+    ) -> None:
+        """
+        `LlamaIndexOllama` is a subclass of `LlamaIndex` that uses
+        ollama to run inference on the LLM.
+
+        Parameters
+        ----------
+        model_name : str
+            The Ollama model to use
+        """
+        ollama_api_endpoint = get_env_var("OLLAMA_API_ENDPOINT")
+        if ollama_api_endpoint is None:
+            raise ValueError("You must set OLLAMA_API_ENDPOINT for Ollama.")
+        self.ollama_api_endpoint = ollama_api_endpoint
+        super().__init__(*args, model_name=model_name, **kwargs)
+
+    def _prep_llm(self) -> Ollama:
+        logging.info(f"Setting up Ollama (model {self.model_name})")
+        return Ollama(
+            base_url=self.ollama_api_endpoint,
+            model=self.model_name,
+            request_timeout=60,
+        )
+
+    def _prep_tokenizer(self) -> callable[str]:
+        # NOTE: this should depend on the model used, but hard coding Llama2-7b for now
+        logging.info("Setting up Llama2-7b-chat tokenizer")
+        tokenizer = AutoTokenizer.from_pretrained(
+            "meta-llama/Llama-2-7b-chat-hf"
+        ).encode
+        set_global_tokenizer(tokenizer)
+        return tokenizer
+
+
 class LlamaIndexLlamaCPP(LlamaIndex):
     def __init__(
         self,