diff --git a/poetry.lock b/poetry.lock
index 8ea40ac23..a8cd54407 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -225,6 +225,16 @@ typing-extensions = ">=4.7,<5"
 bedrock = ["boto3 (>=1.28.57)", "botocore (>=1.31.57)"]
 vertex = ["google-auth (>=2,<3)"]
 
+[[package]]
+name = "antlr4-python3-runtime"
+version = "4.9.3"
+description = "ANTLR 4.9.3 runtime for Python 3.7"
+optional = false
+python-versions = "*"
+files = [
+    {file = "antlr4-python3-runtime-4.9.3.tar.gz", hash = "sha256:f224469b4168294902bb1efa80a8bf7855f24c99aef99cbefc1bcd3cce77881b"},
+]
+
 [[package]]
 name = "anyio"
 version = "4.4.0"
@@ -1313,6 +1323,69 @@ langchain-openai = ">=0.0.2.post1"
 langchainhub = ">=0.1.15"
 pydantic = ">=2.6.4"
 
+[[package]]
+name = "contourpy"
+version = "1.2.1"
+description = "Python library for calculating contours of 2D quadrilateral grids"
+optional = false
+python-versions = ">=3.9"
+files = [
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+    {file = "contourpy-1.2.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:b33d2bc4f69caedcd0a275329eb2198f560b325605810895627be5d4b876bf7f"},
+    {file = "contourpy-1.2.1.tar.gz", hash = "sha256:4d8908b3bee1c889e547867ca4cdc54e5ab6be6d3e078556814a22457f49423c"},
+]
+
+[package.dependencies]
+numpy = ">=1.20"
+
+[package.extras]
+bokeh = ["bokeh", "selenium"]
+docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"]
+mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.8.0)", "types-Pillow"]
+test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
+test-no-images = ["pytest", "pytest-cov", "pytest-xdist", "wurlitzer"]
+
 [[package]]
 name = "coolname"
 version = "2.2.0"
@@ -1577,6 +1650,21 @@ cuda = ["nvidia-cublas-cu12", "nvidia-cuda-runtime-cu12"]
 gptq = ["exllama (==0.1.0)"]
 tests = ["pytest"]
 
+[[package]]
+name = "cycler"
+version = "0.12.1"
+description = "Composable style cycles"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"},
+    {file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"},
+]
+
+[package.extras]
+docs = ["ipython", "matplotlib", "numpydoc", "sphinx"]
+tests = ["pytest", "pytest-cov", "pytest-xdist"]
+
 [[package]]
 name = "dataclasses-json"
 version = "0.6.7"
@@ -2017,6 +2105,24 @@ six = ">=1.9.0"
 gmpy = ["gmpy"]
 gmpy2 = ["gmpy2"]
 
+[[package]]
+name = "effdet"
+version = "0.4.1"
+description = "EfficientDet for PyTorch"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "effdet-0.4.1-py3-none-any.whl", hash = "sha256:10889a226228d515c948e3fcf811e64c0d78d7aa94823a300045653b9c284cb7"},
+    {file = "effdet-0.4.1.tar.gz", hash = "sha256:ac5589fd304a5650c201986b2ef5f8e10c111093a71b1c49fa6b8817710812b5"},
+]
+
+[package.dependencies]
+omegaconf = ">=2.0"
+pycocotools = ">=2.0.2"
+timm = ">=0.9.2"
+torch = ">=1.12.1"
+torchvision = "*"
+
 [[package]]
 name = "elastic-transport"
 version = "8.15.0"
@@ -2451,6 +2557,71 @@ prometheus-client = ">=0.8.0"
 pytz = "*"
 tornado = ">=5.0.0,<7.0.0"
 
+[[package]]
+name = "fonttools"
+version = "4.53.1"
+description = "Tools to manipulate font files"
+optional = false
+python-versions = ">=3.8"
+files = [
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+[package.extras]
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+graphite = ["lz4 (>=1.7.4.2)"]
+interpolatable = ["munkres", "pycairo", "scipy"]
+lxml = ["lxml (>=4.0)"]
+pathops = ["skia-pathops (>=0.5.0)"]
+plot = ["matplotlib"]
+repacker = ["uharfbuzz (>=0.23.0)"]
+symfont = ["sympy"]
+type1 = ["xattr"]
+ufo = ["fs (>=2.2.0,<3)"]
+unicode = ["unicodedata2 (>=15.1.0)"]
+woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"]
+
 [[package]]
 name = "frozendict"
 version = "2.4.4"
@@ -2935,6 +3106,23 @@ requests = ">=2.18.0,<3.0.0dev"
 protobuf = ["protobuf (<6.0.0dev)"]
 tracing = ["opentelemetry-api (>=1.1.0)"]
 
+[[package]]
+name = "google-cloud-vision"
+version = "3.7.4"
+description = "Google Cloud Vision API client library"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
+[package.dependencies]
+google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]}
+google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0dev"
+proto-plus = ">=1.22.3,<2.0.0dev"
+protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0dev"
+
 [[package]]
 name = "google-crc32c"
 version = "1.5.0"
@@ -3642,13 +3830,13 @@ files = [
 
 [[package]]
 name = "huggingface-hub"
-version = "0.22.2"
+version = "0.23.5"
 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 = [
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 ]
 
 [package.dependencies]
@@ -3663,16 +3851,16 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
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 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"]
 tensorflow-testing = ["keras (<3.0)", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+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)"]
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 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
@@ -3931,6 +4119,24 @@ mistralai = ["mistralai (>=0.1.8,<0.2.0)"]
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 vertexai = ["google-cloud-aiplatform (>=1.52.0,<2.0.0)", "jsonref (>=1.1.0,<2.0.0)"]
 
+[[package]]
+name = "iopath"
+version = "0.1.10"
+description = "A library for providing I/O abstraction."
+optional = false
+python-versions = ">=3.6"
+files = [
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+
+[package.dependencies]
+portalocker = "*"
+tqdm = "*"
+typing_extensions = "*"
+
+[package.extras]
+aws = ["boto3"]
+
 [[package]]
 name = "ipykernel"
 version = "6.29.5"
@@ -4378,6 +4584,119 @@ traitlets = ">=5.3"
 docs = ["myst-parser", "pydata-sphinx-theme", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "traitlets"]
 test = ["ipykernel", "pre-commit", "pytest (<8)", "pytest-cov", "pytest-timeout"]
 
+[[package]]
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+optional = false
+python-versions = ">=3.7"
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 name = "kombu"
 version = "5.4.0"
@@ -5047,6 +5366,36 @@ langchain = ["langchain (>=0.2.0,<0.3.0)"]
 litellm = ["litellm (>=1.40.15,<2.0.0)"]
 openai = ["openai (>=1.3.7,<2.0.0)"]
 
+[[package]]
+name = "layoutparser"
+version = "0.3.4"
+description = "A unified toolkit for Deep Learning Based Document Image Analysis"
+optional = false
+python-versions = ">=3.6"
+files = [
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+
+[package.dependencies]
+iopath = "*"
+numpy = "*"
+opencv-python = "*"
+pandas = "*"
+pdf2image = "*"
+pdfplumber = "*"
+pillow = "*"
+pyyaml = ">=5.1"
+scipy = "*"
+
+[package.extras]
+effdet = ["effdet", "torch", "torchvision"]
+gcv = ["google-cloud-vision (==1)"]
+layoutmodels = ["effdet", "torch", "torchvision"]
+ocr = ["google-cloud-vision (==1)", "pytesseract"]
+paddledetection = ["paddlepaddle (==2.1.0)"]
+tesseract = ["pytesseract"]
+
 [[package]]
 name = "litellm"
 version = "1.44.1"
@@ -5430,6 +5779,69 @@ dev = ["marshmallow[tests]", "pre-commit (>=3.5,<4.0)", "tox"]
 docs = ["alabaster (==0.7.16)", "autodocsumm (==0.2.12)", "sphinx (==7.3.7)", "sphinx-issues (==4.1.0)", "sphinx-version-warning (==1.1.2)"]
 tests = ["pytest", "pytz", "simplejson"]
 
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+    {file = "matplotlib-3.9.2.tar.gz", hash = "sha256:96ab43906269ca64a6366934106fa01534454a69e471b7bf3d79083981aaab92"},
+]
+
+[package.dependencies]
+contourpy = ">=1.0.1"
+cycler = ">=0.10"
+fonttools = ">=4.22.0"
+kiwisolver = ">=1.3.1"
+numpy = ">=1.23"
+packaging = ">=20.0"
+pillow = ">=8"
+pyparsing = ">=2.3.1"
+python-dateutil = ">=2.7"
+
+[package.extras]
+dev = ["meson-python (>=0.13.1)", "numpy (>=1.25)", "pybind11 (>=2.6)", "setuptools (>=64)", "setuptools_scm (>=7)"]
+
 [[package]]
 name = "matplotlib-inline"
 version = "0.1.7"
@@ -5899,13 +6311,13 @@ test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
 
 [[package]]
 name = "nltk"
-version = "3.9"
+version = "3.9.1"
 description = "Natural Language Toolkit"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "nltk-3.9-py3-none-any.whl", hash = "sha256:d17863e861bb33ac617893329d71d06a3dfb7e3eb9ee0b8105281c53944a45a1"},
-    {file = "nltk-3.9.tar.gz", hash = "sha256:e98acac454407fa38b76cccb29208d377731cf7fab68f323754a3681f104531f"},
+    {file = "nltk-3.9.1-py3-none-any.whl", hash = "sha256:4fa26829c5b00715afe3061398a8989dc643b92ce7dd93fb4585a70930d168a1"},
+    {file = "nltk-3.9.1.tar.gz", hash = "sha256:87d127bd3de4bd89a4f81265e5fa59cb1b199b27440175370f7417d2bc7ae868"},
 ]
 
 [package.dependencies]
@@ -6023,7 +6435,7 @@ files = [
 name = "nvidia-cublas-cu12"
 version = "12.1.3.1"
 description = "CUBLAS native runtime libraries"
-optional = true
+optional = false
 python-versions = ">=3"
 files = [
     {file = "nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl", hash = "sha256:ee53ccca76a6fc08fb9701aa95b6ceb242cdaab118c3bb152af4e579af792728"},
@@ -6034,7 +6446,7 @@ files = [
 name = "nvidia-cuda-cupti-cu12"
 version = "12.1.105"
 description = "CUDA profiling tools runtime libs."
-optional = true
+optional = false
 python-versions = ">=3"
 files = [
     {file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:e54fde3983165c624cb79254ae9818a456eb6e87a7fd4d56a2352c24ee542d7e"},
@@ -6045,7 +6457,7 @@ files = [
 name = "nvidia-cuda-nvrtc-cu12"
 version = "12.1.105"
 description = "NVRTC native runtime libraries"
-optional = true
+optional = false
 python-versions = ">=3"
 files = [
     {file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:339b385f50c309763ca65456ec75e17bbefcbbf2893f462cb8b90584cd27a1c2"},
@@ -6056,7 +6468,7 @@ files = [
 name = "nvidia-cuda-runtime-cu12"
 version = "12.1.105"
 description = "CUDA Runtime native Libraries"
-optional = true
+optional = false
 python-versions = ">=3"
 files = [
     {file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:6e258468ddf5796e25f1dc591a31029fa317d97a0a94ed93468fc86301d61e40"},
@@ -6067,7 +6479,7 @@ files = [
 name = "nvidia-cudnn-cu12"
 version = "9.1.0.70"
 description = "cuDNN runtime libraries"
-optional = true
+optional = false
 python-versions = ">=3"
 files = [
     {file = "nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl", hash = "sha256:165764f44ef8c61fcdfdfdbe769d687e06374059fbb388b6c89ecb0e28793a6f"},
@@ -6081,7 +6493,7 @@ nvidia-cublas-cu12 = "*"
 name = "nvidia-cufft-cu12"
 version = "11.0.2.54"
 description = "CUFFT native runtime libraries"
-optional = true
+optional = false
 python-versions = ">=3"
 files = [
     {file = "nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl", hash = "sha256:794e3948a1aa71fd817c3775866943936774d1c14e7628c74f6f7417224cdf56"},
@@ -6092,7 +6504,7 @@ files = [
 name = "nvidia-curand-cu12"
 version = "10.3.2.106"
 description = "CURAND native runtime libraries"
-optional = true
+optional = false
 python-versions = ">=3"
 files = [
     {file = "nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:9d264c5036dde4e64f1de8c50ae753237c12e0b1348738169cd0f8a536c0e1e0"},
@@ -6103,7 +6515,7 @@ files = [
 name = "nvidia-cusolver-cu12"
 version = "11.4.5.107"
 description = "CUDA solver native runtime libraries"
-optional = true
+optional = false
 python-versions = ">=3"
 files = [
     {file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl", hash = "sha256:8a7ec542f0412294b15072fa7dab71d31334014a69f953004ea7a118206fe0dd"},
@@ -6119,7 +6531,7 @@ nvidia-nvjitlink-cu12 = "*"
 name = "nvidia-cusparse-cu12"
 version = "12.1.0.106"
 description = "CUSPARSE native runtime libraries"
-optional = true
+optional = false
 python-versions = ">=3"
 files = [
     {file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:f3b50f42cf363f86ab21f720998517a659a48131e8d538dc02f8768237bd884c"},
@@ -6133,7 +6545,7 @@ nvidia-nvjitlink-cu12 = "*"
 name = "nvidia-nccl-cu12"
 version = "2.20.5"
 description = "NVIDIA Collective Communication Library (NCCL) Runtime"
-optional = true
+optional = false
 python-versions = ">=3"
 files = [
     {file = "nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_aarch64.whl", hash = "sha256:1fc150d5c3250b170b29410ba682384b14581db722b2531b0d8d33c595f33d01"},
@@ -6144,7 +6556,7 @@ files = [
 name = "nvidia-nvjitlink-cu12"
 version = "12.6.20"
 description = "Nvidia JIT LTO Library"
-optional = true
+optional = false
 python-versions = ">=3"
 files = [
     {file = "nvidia_nvjitlink_cu12-12.6.20-py3-none-manylinux2014_aarch64.whl", hash = "sha256:84fb38465a5bc7c70cbc320cfd0963eb302ee25a5e939e9f512bbba55b6072fb"},
@@ -6156,7 +6568,7 @@ files = [
 name = "nvidia-nvtx-cu12"
 version = "12.1.105"
 description = "NVIDIA Tools Extension"
-optional = true
+optional = false
 python-versions = ">=3"
 files = [
     {file = "nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:dc21cf308ca5691e7c04d962e213f8a4aa9bbfa23d95412f452254c2caeb09e5"},
@@ -6179,6 +6591,63 @@ rsa = ["cryptography (>=3.0.0)"]
 signals = ["blinker (>=1.4.0)"]
 signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
 
+[[package]]
+name = "omegaconf"
+version = "2.3.0"
+description = "A flexible configuration library"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "omegaconf-2.3.0-py3-none-any.whl", hash = "sha256:7b4df175cdb08ba400f45cae3bdcae7ba8365db4d165fc65fd04b050ab63b46b"},
+    {file = "omegaconf-2.3.0.tar.gz", hash = "sha256:d5d4b6d29955cc50ad50c46dc269bcd92c6e00f5f90d23ab5fee7bfca4ba4cc7"},
+]
+
+[package.dependencies]
+antlr4-python3-runtime = "==4.9.*"
+PyYAML = ">=5.1.0"
+
+[[package]]
+name = "onnx"
+version = "1.16.2"
+description = "Open Neural Network Exchange"
+optional = false
+python-versions = ">=3.8"
+files = [
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+    {file = "onnx-1.16.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da01d4a3bd7a0d0ee5084f65441fc9ca38450fc18835b7f9d5da5b9e7ca8b85d"},
+    {file = "onnx-1.16.2-cp39-cp39-win32.whl", hash = "sha256:0b765b09bdb01fa2338ea52483aa3d9c75e249f85446f0d9ad1dc5bd2b149082"},
+    {file = "onnx-1.16.2-cp39-cp39-win_amd64.whl", hash = "sha256:bfee781a59919e797f4dae380e63a0390ec01ce5c337a1459b992aac2f49a3c2"},
+    {file = "onnx-1.16.2.tar.gz", hash = "sha256:b33a282b038813c4b69e73ea65c2909768e8dd6cc10619b70632335daf094646"},
+]
+
+[package.dependencies]
+numpy = ">=1.20"
+protobuf = ">=3.20.2"
+
+[package.extras]
+reference = ["google-re2", "pillow"]
+
 [[package]]
 name = "onnxruntime"
 version = "1.18.1"
@@ -6245,6 +6714,30 @@ typing-extensions = ">=4.11,<5"
 [package.extras]
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
+[[package]]
+name = "opencv-python"
+version = "4.10.0.84"
+description = "Wrapper package for OpenCV python bindings."
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "opencv-python-4.10.0.84.tar.gz", hash = "sha256:72d234e4582e9658ffea8e9cae5b63d488ad06994ef12d81dc303b17472f3526"},
+    {file = "opencv_python-4.10.0.84-cp37-abi3-macosx_11_0_arm64.whl", hash = "sha256:fc182f8f4cda51b45f01c64e4cbedfc2f00aff799debebc305d8d0210c43f251"},
+    {file = "opencv_python-4.10.0.84-cp37-abi3-macosx_12_0_x86_64.whl", hash = "sha256:71e575744f1d23f79741450254660442785f45a0797212852ee5199ef12eed98"},
+    {file = "opencv_python-4.10.0.84-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:09a332b50488e2dda866a6c5573ee192fe3583239fb26ff2f7f9ceb0bc119ea6"},
+    {file = "opencv_python-4.10.0.84-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9ace140fc6d647fbe1c692bcb2abce768973491222c067c131d80957c595b71f"},
+    {file = "opencv_python-4.10.0.84-cp37-abi3-win32.whl", hash = "sha256:2db02bb7e50b703f0a2d50c50ced72e95c574e1e5a0bb35a8a86d0b35c98c236"},
+    {file = "opencv_python-4.10.0.84-cp37-abi3-win_amd64.whl", hash = "sha256:32dbbd94c26f611dc5cc6979e6b7aa1f55a64d6b463cc1dcd3c95505a63e48fe"},
+]
+
+[package.dependencies]
+numpy = [
+    {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\" and python_version < \"3.11\""},
+    {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\" and python_version < \"3.11\""},
+    {version = ">=1.23.5", markers = "python_version >= \"3.11\" and python_version < \"3.12\""},
+    {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
+]
+
 [[package]]
 name = "opentelemetry-api"
 version = "1.25.0"
@@ -6735,6 +7228,56 @@ bcrypt = ["bcrypt (>=3.1.0)"]
 build-docs = ["cloud-sptheme (>=1.10.1)", "sphinx (>=1.6)", "sphinxcontrib-fulltoc (>=1.2.0)"]
 totp = ["cryptography"]
 
+[[package]]
+name = "pdf2image"
+version = "1.17.0"
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 [[package]]
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 version = "10.4.0"
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 typing = ["typing-extensions"]
 xmp = ["defusedxml"]
 
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+tests-min = ["defusedxml", "packaging", "pytest"]
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 [[package]]
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 version = "3.2.2"
@@ -7425,6 +8104,48 @@ types = ["ipykernel (>=6.29.0)", "jupyter-client (>=8.6.0)", "jupyter-kernel-gat
 websockets = ["websockets (>=12.0,<13)"]
 websurfer = ["beautifulsoup4", "markdownify", "pathvalidate", "pdfminer.six"]
 
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 [[package]]
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 version = "2.22"
@@ -7813,6 +8534,28 @@ docs = ["myst_parser", "sphinx", "sphinx_rtd_theme"]
 full = ["Pillow (>=8.0.0)", "PyCryptodome", "cryptography"]
 image = ["Pillow (>=8.0.0)"]
 
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+
 [[package]]
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 version = "1.9.0"
@@ -7909,6 +8652,21 @@ files = [
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+[[package]]
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+description = "Python-tesseract is a python wrapper for Google's Tesseract-OCR"
+optional = false
+python-versions = ">=3.8"
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+Pillow = ">=8.0.0"
+
 [[package]]
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@@ -9070,7 +9828,7 @@ crt = ["botocore[crt] (>=1.33.2,<2.0a.0)"]
 name = "safetensors"
 version = "0.4.4"
 description = ""
-optional = true
+optional = false
 python-versions = ">=3.7"
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@@ -9893,6 +10651,24 @@ requests = ">=2.26.0"
 [package.extras]
 blobfile = ["blobfile (>=2)"]
 
+[[package]]
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+version = "1.0.9"
+description = "PyTorch Image Models"
+optional = false
+python-versions = ">=3.8"
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+pyyaml = "*"
+safetensors = "*"
+torch = "*"
+torchvision = "*"
+
 [[package]]
 name = "tokenizers"
 version = "0.19.1"
@@ -10036,7 +10812,7 @@ files = [
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 version = "2.4.0"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
-optional = true
+optional = false
 python-versions = ">=3.8.0"
 files = [
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 opt-einsum = ["opt-einsum (>=3.3)"]
 optree = ["optree (>=0.11.0)"]
 
+[[package]]
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+version = "0.19.0"
+description = "image and video datasets and models for torch deep learning"
+optional = false
+python-versions = ">=3.8"
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+    {file = "torchvision-0.19.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:dbf3aa71a3899244fc884303ed3c4604a160824fefac77e82317a5463efc1d9b"},
+    {file = "torchvision-0.19.0-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:ec4162dc71d9db7f0b51d0f92491929c1419605ff436e1305e50de13504a1c30"},
+    {file = "torchvision-0.19.0-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:4e6aa4fa3f0bc3599fa071c149e651a3e6bdd67c9161794478f9f91471c406a2"},
+    {file = "torchvision-0.19.0-cp311-cp311-win_amd64.whl", hash = "sha256:ac5525d5cc09e425b5cf5752ecf66eefbbbd8c8cd945198ce35eb01a694e6069"},
+    {file = "torchvision-0.19.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:c09ef8ed184fa877f6251b620226e74f682b8f1d6b341456428d4955b8d9c670"},
+    {file = "torchvision-0.19.0-cp312-cp312-manylinux1_x86_64.whl", hash = "sha256:02f1dd5cfc897957535b41b0258ec452d30de044e20c2de2c75869f7708e7656"},
+    {file = "torchvision-0.19.0-cp312-cp312-manylinux2014_aarch64.whl", hash = "sha256:be0f27a28b8e9f2ae98a31af34a4bdd2a5bf154d92bd73a5797c8d2156fb3ab6"},
+    {file = "torchvision-0.19.0-cp312-cp312-win_amd64.whl", hash = "sha256:a6ba7756f75c80212e51d3576f85ea204589e0c16efdb9b835dd677bc8929a67"},
+    {file = "torchvision-0.19.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:854e967a16a9409e941b5bbe5aa357b23f7158bccb9de35ae20fd4945f05ecd1"},
+    {file = "torchvision-0.19.0-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:d9afb8a3c3ce99a161a64c2a3b91cb545632a72118053cbfb84e87a02a8dcd02"},
+    {file = "torchvision-0.19.0-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:079a696e0b2cb52e4be30afa8e9b3d7d280f02a2b5ffedd7e821fa1efd1a5a8d"},
+    {file = "torchvision-0.19.0-cp38-cp38-win_amd64.whl", hash = "sha256:aaa338ff3a55a8c0f94e0e64eff6fe2af1fc933a95fd43812760e72ea66e986b"},
+    {file = "torchvision-0.19.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:dd1279571d4b68d5a53d9b7a35aedf91c4cb1e0b08099f6a1effa7b25b8c95e7"},
+    {file = "torchvision-0.19.0-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:4d54b5e19b7ebebca7d0b08497b4c6335264cad04c94c05fa35988d9e9eed0c4"},
+    {file = "torchvision-0.19.0-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:5f9a598dcf82bdfc8e4436ce74763b3877dabec3b33f94613b94ede13e3e4dee"},
+    {file = "torchvision-0.19.0-cp39-cp39-win_amd64.whl", hash = "sha256:ec1281c10402234d470bfd4d53663d81f4364f293b2f8fe24d4a7a1adc78c90c"},
+]
+
+[package.dependencies]
+numpy = "*"
+pillow = ">=5.3.0,<8.3.dev0 || >=8.4.dev0"
+torch = "2.4.0"
+
+[package.extras]
+gdown = ["gdown (>=4.7.3)"]
+scipy = ["scipy"]
+
 [[package]]
 name = "tornado"
 version = "6.4.1"
@@ -10144,7 +10963,7 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,
 name = "transformers"
 version = "4.40.2"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
-optional = true
+optional = false
 python-versions = ">=3.8.0"
 files = [
     {file = "transformers-4.40.2-py3-none-any.whl", hash = "sha256:71cb94301ec211a2e1d4b8c8d18dcfaa902dfa00a089dceca167a8aa265d6f2d"},
@@ -10309,7 +11128,7 @@ wsproto = ">=0.14"
 name = "triton"
 version = "3.0.0"
 description = "A language and compiler for custom Deep Learning operations"
-optional = true
+optional = false
 python-versions = "*"
 files = [
     {file = "triton-3.0.0-1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e1efef76935b2febc365bfadf74bcb65a6f959a9872e5bddf44cc9e0adce1e1a"},
@@ -10681,14 +11500,23 @@ backoff = "*"
 beautifulsoup4 = "*"
 chardet = "*"
 dataclasses-json = "*"
+effdet = {version = "*", optional = true, markers = "extra == \"pdf\""}
 emoji = "*"
 filetype = "*"
+google-cloud-vision = {version = "*", optional = true, markers = "extra == \"pdf\""}
 langdetect = "*"
 lxml = "*"
 markdown = {version = "*", optional = true, markers = "extra == \"md\""}
 nltk = "*"
 numpy = "<2"
+onnx = {version = "*", optional = true, markers = "extra == \"pdf\""}
+pdf2image = {version = "*", optional = true, markers = "extra == \"pdf\""}
+"pdfminer.six" = {version = "*", optional = true, markers = "extra == \"pdf\""}
+pikepdf = {version = "*", optional = true, markers = "extra == \"pdf\""}
+pillow-heif = {version = "*", optional = true, markers = "extra == \"pdf\""}
 psutil = "*"
+pypdf = {version = "*", optional = true, markers = "extra == \"pdf\""}
+pytesseract = {version = "*", optional = true, markers = "extra == \"pdf\""}
 python-docx = {version = ">=1.1.2", optional = true, markers = "extra == \"docx\""}
 python-iso639 = "*"
 python-magic = "*"
@@ -10699,6 +11527,8 @@ tabulate = "*"
 tqdm = "*"
 typing-extensions = "*"
 unstructured-client = "*"
+unstructured-inference = {version = "0.7.36", optional = true, markers = "extra == \"pdf\""}
+"unstructured.pytesseract" = {version = ">=0.3.12", optional = true, markers = "extra == \"pdf\""}
 wrapt = "*"
 
 [package.extras]
@@ -10802,6 +11632,45 @@ urllib3 = ">=1.26.18"
 [package.extras]
 dev = ["pylint (==3.1.0)"]
 
+[[package]]
+name = "unstructured-inference"
+version = "0.7.36"
+description = "A library for performing inference using trained models."
+optional = false
+python-versions = ">=3.7.0"
+files = [
+    {file = "unstructured_inference-0.7.36-py3-none-any.whl", hash = "sha256:6e59c2226c0d049d8e78e102d95bba1a126e14ede4d40494a72ef82ecf7fb64f"},
+    {file = "unstructured_inference-0.7.36.tar.gz", hash = "sha256:0b998b311c6156df021d309147b724de4f88f80ef17d8328dfc37eedab67d82a"},
+]
+
+[package.dependencies]
+huggingface-hub = "*"
+layoutparser = "*"
+matplotlib = "*"
+onnx = "*"
+onnxruntime = ">=1.17.0"
+opencv-python = "!=4.7.0.68"
+python-multipart = "*"
+rapidfuzz = "*"
+timm = "*"
+torch = "*"
+transformers = ">=4.25.1"
+
+[[package]]
+name = "unstructured-pytesseract"
+version = "0.3.13"
+description = "Python-tesseract is a python wrapper for Google's Tesseract-OCR"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "unstructured.pytesseract-0.3.13-py3-none-any.whl", hash = "sha256:8001bc860470d56185176eb3ceb4623e888eba058ca3b30af79003784bc40e19"},
+    {file = "unstructured.pytesseract-0.3.13.tar.gz", hash = "sha256:ff2e6391496e457dbf4b4e327f4a4577cce18921ea6570dc74bd64381b10e963"},
+]
+
+[package.dependencies]
+packaging = ">=21.3"
+Pillow = ">=8.0.0"
+
 [[package]]
 name = "upstash-vector"
 version = "0.4.0"
@@ -11692,4 +12561,4 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<3.13"
-content-hash = "e01279dfd44f686cf4d37eac35b883d54e86fc377e1b81a5c4504fa7a2066d98"
+content-hash = "aa4f8d9f33ce8eceab5f81a5a943eaa048140ff3c53953204f505393a5cb2659"
diff --git a/pyproject.toml b/pyproject.toml
index 9ca874113..a85cac89f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -31,7 +31,7 @@ langflow-base = { path = "./src/backend/base", develop = true }
 beautifulsoup4 = "^4.12.2"
 google-search-results = "^2.4.1"
 google-api-python-client = "^2.130.0"
-huggingface-hub = { version = "^0.22.0", extras = ["inference"] }
+huggingface-hub = { version = "^0.23.2", extras = ["inference"] }
 llama-cpp-python = { version = "~0.2.0", optional = true }
 networkx = "^3.1"
 fake-useragent = "^1.5.0"
@@ -87,7 +87,7 @@ langchain-chroma = "^0.1.1"
 upstash-vector = "^0.4.0"
 gitpython = "^3.1.43"
 cassio = { extras = ["cassio"], version = "^0.1.7", optional = true }
-unstructured = {extras = ["docx", "md", "pptx"], version = "^0.14.4"}
+unstructured = {extras = ["docx", "md", "pptx", "pdf"], version = "^0.14.4"}
 langchain-aws = "^0.1.16"
 langchain-mongodb = "^0.1.6"
 kubernetes = "^30.1.0"
@@ -105,6 +105,7 @@ wolframalpha = "^5.1.3"
 astra-assistants = "^2.1.0.10"
 composio-langchain = "^0.5.8"
 spider-client = "^0.0.27"
+nltk = "^3.9.1"
 
 
 [tool.poetry.group.dev.dependencies]
@@ -151,6 +152,7 @@ optional = true
 [tool.poetry.group.spelling.dependencies]
 codespell = "^2.3.0"
 
+
 [tool.codespell]
 skip = '.git,*.pdf,*.svg,*.pdf,*.yaml,*.ipynb,poetry.lock,*.min.js,*.css,package-lock.json,*.trig.,**/node_modules/**,./stuff/*,*.csv'
 # Ignore latin etc
diff --git a/src/backend/base/langflow/initial_setup/setup.py b/src/backend/base/langflow/initial_setup/setup.py
index dfedeec7e..210995051 100644
--- a/src/backend/base/langflow/initial_setup/setup.py
+++ b/src/backend/base/langflow/initial_setup/setup.py
@@ -3,6 +3,7 @@ import json
 import os
 import shutil
 import time
+import nltk
 from collections import defaultdict
 from copy import deepcopy
 from datetime import datetime, timezone
@@ -615,3 +616,19 @@ def initialize_super_user_if_needed():
         create_default_folder_if_it_doesnt_exist(session, super_user.id)
         session.commit()
         logger.info("Super user initialized")
+
+
+# Function to download NLTK packages if not already downloaded
+def download_nltk_resources():
+    nltk_resources = {
+        "corpora": ["wordnet"],
+        "taggers": ["averaged_perceptron_tagger"],
+        "tokenizers": ["punkt", "punkt_tab"],
+    }
+
+    for category, packages in nltk_resources.items():
+        for package in packages:
+            try:
+                nltk.data.find(f"{category}/{package}")
+            except LookupError:
+                nltk.download(package)
diff --git a/src/backend/base/langflow/main.py b/src/backend/base/langflow/main.py
index b79f092bc..766a2061e 100644
--- a/src/backend/base/langflow/main.py
+++ b/src/backend/base/langflow/main.py
@@ -25,6 +25,7 @@ from langflow.initial_setup.setup import (
     create_or_update_starter_projects,
     initialize_super_user_if_needed,
     load_flows_from_directory,
+    download_nltk_resources,
 )
 from langflow.interface.types import get_and_cache_all_types_dict
 from langflow.interface.utils import setup_llm_caching
@@ -182,6 +183,9 @@ def create_app():
 
     FastAPIInstrumentor.instrument_app(app)
 
+    # Get necessary NLTK packages
+    download_nltk_resources()
+
     return app