diff --git a/level_3/.data/3ZCCCW.pdf b/level_3/.data/3ZCCCW.pdf
new file mode 100644
index 000000000..e610a35c0
Binary files /dev/null and b/level_3/.data/3ZCCCW.pdf differ
diff --git a/level_3/poetry.lock b/level_3/poetry.lock
index 5abec8aa2..f26ff5239 100644
--- a/level_3/poetry.lock
+++ b/level_3/poetry.lock
@@ -2,98 +2,98 @@
 
 [[package]]
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 optional = false
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 ]
 
 [package.dependencies]
@@ -137,6 +137,16 @@ files = [
 docs = ["Sphinx", "setuptools-scm", "sphinx-rtd-theme"]
 test = ["pytest", "pytest-cov"]
 
+[[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 = "3.7.1"
@@ -290,6 +300,17 @@ files = [
 [package.dependencies]
 cryptography = ">=3.2"
 
+[[package]]
+name = "backoff"
+version = "2.2.1"
+description = "Function decoration for backoff and retry"
+optional = false
+python-versions = ">=3.7,<4.0"
+files = [
+    {file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"},
+    {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
+]
+
 [[package]]
 name = "beautifulsoup4"
 version = "4.12.2"
@@ -310,39 +331,45 @@ lxml = ["lxml"]
 
 [[package]]
 name = "blis"
-version = "0.7.10"
+version = "0.7.11"
 description = "The Blis BLAS-like linear algebra library, as a self-contained C-extension."
 optional = false
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 [[package]]
 name = "boto3"
-version = "1.28.37"
+version = "1.28.63"
 description = "The AWS SDK for Python"
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 python-versions = ">= 3.7"
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 jmespath = ">=0.7.1,<2.0.0"
-s3transfer = ">=0.6.0,<0.7.0"
+s3transfer = ">=0.7.0,<0.8.0"
 
 [package.extras]
 crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
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+version = "1.31.63"
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 python-dateutil = ">=2.1,<3.0.0"
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 [package.extras]
 crt = ["awscrt (==0.16.26)"]
@@ -399,13 +426,13 @@ files = [
 
 [[package]]
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-version = "2.0.9"
+version = "2.0.10"
 description = "Super lightweight function registries for your library"
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 python-versions = ">=3.6"
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 [[package]]
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+version = "1.16.0"
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 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
+[[package]]
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+description = "pathlib-style classes for cloud storage services."
+optional = false
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+
+[package.extras]
+all = ["cloudpathlib[azure]", "cloudpathlib[gs]", "cloudpathlib[s3]"]
+azure = ["azure-storage-blob (>=12)"]
+gs = ["google-cloud-storage"]
+s3 = ["boto3"]
+
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 name = "colorama"
 version = "0.4.6"
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+
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 test-randomorder = ["pytest-randomly"]
 
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 ]
 
 [[package]]
@@ -770,33 +1001,18 @@ files = [
 
 [[package]]
 name = "dataclasses-json"
-version = "0.5.9"
-description = "Easily serialize dataclasses to and from JSON"
+version = "0.6.1"
+description = "Easily serialize dataclasses to and from JSON."
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7,<4.0"
 files = [
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 [package.dependencies]
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-marshmallow-enum = ">=1.5.1,<2.0.0"
-typing-inspect = ">=0.4.0"
-
-[package.extras]
-dev = ["flake8", "hypothesis", "ipython", "mypy (>=0.710)", "portray", "pytest (>=7.2.0)", "setuptools", "simplejson", "twine", "types-dataclasses", "wheel"]
-
-[[package]]
-name = "decorator"
-version = "5.1.1"
-description = "Decorators for Humans"
-optional = false
-python-versions = ">=3.5"
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-]
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+typing-inspect = ">=0.4.0,<1"
 
 [[package]]
 name = "deep-translator"
@@ -820,13 +1036,13 @@ pdf = ["pypdf (>=3.3.0,<4.0.0)"]
 
 [[package]]
 name = "deepeval"
-version = "0.20.6"
+version = "0.20.8"
 description = "DeepEval provides evaluation and unit testing to accelerate development of LLMs and Agents."
 optional = false
 python-versions = "*"
 files = [
-    {file = "deepeval-0.20.6-py3-none-any.whl", hash = "sha256:aa0b96fa062f63398858fe2af1c4982ee9e4d53cd3e322c7bbc3812fe1267614"},
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 ]
 
 [package.dependencies]
@@ -867,13 +1083,13 @@ dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "sphinx (<2)", "tox"]
 
 [[package]]
 name = "dlt"
-version = "0.3.18"
-description = "DLT is an open-source python-native scalable data loading framework that does not require any devops efforts to run."
+version = "0.3.20"
+description = "dlt is an open-source python-first scalable data loading library that does not require any backend to run."
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
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+    {file = "dlt-0.3.20.tar.gz", hash = "sha256:930a347da2fddb6e9433a428437572ce0598a613ba1082aad8f132d774e60334"},
 ]
 
 [package.dependencies]
@@ -922,7 +1138,7 @@ postgres = ["psycopg2-binary (>=2.9.1)", "psycopg2cffi (>=2.9.0)"]
 pydantic = ["pydantic (>=1.10,<2.0)"]
 redshift = ["psycopg2-binary (>=2.9.1)", "psycopg2cffi (>=2.9.0)"]
 s3 = ["botocore (>=1.28)", "s3fs (>=2022.4.0)"]
-snowflake = ["snowflake-connector-python[pandas] (>=2.9.0)"]
+snowflake = ["snowflake-connector-python[pandas] (>=3.1.1)"]
 weaviate = ["weaviate-client (>=3.22)"]
 
 [[package]]
@@ -1023,6 +1239,38 @@ 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 = [
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+    {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 = "emoji"
+version = "2.8.0"
+description = "Emoji for Python"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+files = [
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+    {file = "emoji-2.8.0.tar.gz", hash = "sha256:8d8b5dec3c507444b58890e598fc895fcec022b3f5acb49497c6ccc5208b8b00"},
+]
+
+[package.extras]
+dev = ["coverage", "coveralls", "pytest"]
+
 [[package]]
 name = "exceptiongroup"
 version = "1.1.3"
@@ -1057,13 +1305,13 @@ all = ["email-validator (>=1.1.1)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)"
 
 [[package]]
 name = "fastjsonschema"
-version = "2.18.0"
+version = "2.18.1"
 description = "Fastest Python implementation of JSON schema"
 optional = false
 python-versions = "*"
 files = [
-    {file = "fastjsonschema-2.18.0-py3-none-any.whl", hash = "sha256:128039912a11a807068a7c87d0da36660afbfd7202780db26c4aa7153cfdc799"},
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+    {file = "fastjsonschema-2.18.1-py3-none-any.whl", hash = "sha256:aec6a19e9f66e9810ab371cc913ad5f4e9e479b63a7072a2cd060a9369e329a8"},
+    {file = "fastjsonschema-2.18.1.tar.gz", hash = "sha256:06dc8680d937628e993fa0cd278f196d20449a1adc087640710846b324d422ea"},
 ]
 
 [package.extras]
@@ -1071,21 +1319,30 @@ devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benc
 
 [[package]]
 name = "filelock"
-version = "3.12.3"
+version = "3.12.4"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "filelock-3.12.3-py3-none-any.whl", hash = "sha256:f067e40ccc40f2b48395a80fcbd4728262fab54e232e090a4063ab804179efeb"},
-    {file = "filelock-3.12.3.tar.gz", hash = "sha256:0ecc1dd2ec4672a10c8550a8182f1bd0c0a5088470ecd5a125e45f49472fac3d"},
+    {file = "filelock-3.12.4-py3-none-any.whl", hash = "sha256:08c21d87ded6e2b9da6728c3dff51baf1dcecf973b768ef35bcbc3447edb9ad4"},
+    {file = "filelock-3.12.4.tar.gz", hash = "sha256:2e6f249f1f3654291606e046b09f1fd5eac39b360664c27f5aad072012f8bcbd"},
 ]
 
-[package.dependencies]
-typing-extensions = {version = ">=4.7.1", markers = "python_version < \"3.11\""}
-
 [package.extras]
 docs = ["furo (>=2023.7.26)", "sphinx (>=7.1.2)", "sphinx-autodoc-typehints (>=1.24)"]
 testing = ["covdefaults (>=2.3)", "coverage (>=7.3)", "diff-cover (>=7.7)", "pytest (>=7.4)", "pytest-cov (>=4.1)", "pytest-mock (>=3.11.1)", "pytest-timeout (>=2.1)"]
+typing = ["typing-extensions (>=4.7.1)"]
+
+[[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 = "*"
+files = [
+    {file = "filetype-1.2.0-py2.py3-none-any.whl", hash = "sha256:7ce71b6880181241cf7ac8697a2f1eb6a8bd9b429f7ad6d27b8db9ba5f1c2d25"},
+    {file = "filetype-1.2.0.tar.gz", hash = "sha256:66b56cd6474bf41d8c54660347d37afcc3f7d1970648de365c102ef77548aadb"},
+]
 
 [[package]]
 name = "flask"
@@ -1108,6 +1365,82 @@ Werkzeug = ">=2.2.2"
 async = ["asgiref (>=3.2)"]
 dotenv = ["python-dotenv"]
 
+[[package]]
+name = "flatbuffers"
+version = "23.5.26"
+description = "The FlatBuffers serialization format for Python"
+optional = false
+python-versions = "*"
+files = [
+    {file = "flatbuffers-23.5.26-py2.py3-none-any.whl", hash = "sha256:c0ff356da363087b915fde4b8b45bdda73432fc17cddb3c8157472eab1422ad1"},
+    {file = "flatbuffers-23.5.26.tar.gz", hash = "sha256:9ea1144cac05ce5d86e2859f431c6cd5e66cd9c78c558317c7955fb8d4c78d89"},
+]
+
+[[package]]
+name = "fonttools"
+version = "4.43.1"
+description = "Tools to manipulate font files"
+optional = false
+python-versions = ">=3.8"
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+interpolatable = ["munkres", "scipy"]
+lxml = ["lxml (>=4.0,<5)"]
+pathops = ["skia-pathops (>=0.5.0)"]
+plot = ["matplotlib"]
+repacker = ["uharfbuzz (>=0.23.0)"]
+symfont = ["sympy"]
+type1 = ["xattr"]
+ufo = ["fs (>=2.2.0,<3)"]
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+woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"]
+
 [[package]]
 name = "frozenlist"
 version = "1.4.0"
@@ -1180,13 +1513,13 @@ files = [
 
 [[package]]
 name = "fsspec"
-version = "2023.6.0"
+version = "2023.9.2"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.extras]
@@ -1229,27 +1562,30 @@ smmap = ">=3.0.1,<6"
 
 [[package]]
 name = "gitpython"
-version = "3.1.32"
+version = "3.1.37"
 description = "GitPython is a Python library used to interact with Git repositories"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
 gitdb = ">=4.0.1,<5"
 
+[package.extras]
+test = ["black", "coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mypy", "pre-commit", "pytest", "pytest-cov", "pytest-sugar"]
+
 [[package]]
 name = "giturlparse"
-version = "0.11.1"
+version = "0.12.0"
 description = "A Git URL parsing module (supports parsing and rewriting)"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -1280,13 +1616,13 @@ requests = ">=2.20.0,<3.0"
 
 [[package]]
 name = "gptcache"
-version = "0.1.40"
+version = "0.1.42"
 description = "GPTCache, a powerful caching library that can be used to speed up and lower the cost of chat applications that rely on the LLM service. GPTCache works as a memcache for AIGC applications, similar to how Redis works for traditional applications."
 optional = false
 python-versions = ">=3.8.1"
 files = [
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 ]
 
 [package.dependencies]
@@ -1428,13 +1764,13 @@ files = [
 
 [[package]]
 name = "httpcore"
-version = "0.17.3"
+version = "0.18.0"
 description = "A minimal low-level HTTP client."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1449,18 +1785,18 @@ socks = ["socksio (==1.*)"]
 
 [[package]]
 name = "httpx"
-version = "0.24.1"
+version = "0.25.0"
 description = "The next generation HTTP client."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "httpx-0.25.0.tar.gz", hash = "sha256:47ecda285389cb32bb2691cc6e069e3ab0205956f681c5b2ad2325719751d875"},
 ]
 
 [package.dependencies]
 certifi = "*"
-httpcore = ">=0.15.0,<0.18.0"
+httpcore = ">=0.18.0,<0.19.0"
 idna = "*"
 sniffio = "*"
 
@@ -1472,13 +1808,13 @@ socks = ["socksio (==1.*)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.16.4"
+version = "0.17.3"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.8.0"
 files = [
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+    {file = "huggingface_hub-0.17.3-py3-none-any.whl", hash = "sha256:545eb3665f6ac587add946e73984148f2ea5c7877eac2e845549730570c1933a"},
+    {file = "huggingface_hub-0.17.3.tar.gz", hash = "sha256:40439632b211311f788964602bf8b0d9d6b7a2314fba4e8d67b2ce3ecea0e3fd"},
 ]
 
 [package.dependencies]
@@ -1491,16 +1827,31 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
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+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (==23.7)", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (<2.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
 cli = ["InquirerPy (==0.3.4)"]
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+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (==23.7)", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (<2.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
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-inference = ["aiohttp", "pydantic"]
-quality = ["black (>=23.1,<24.0)", "mypy (==0.982)", "ruff (>=0.0.241)"]
+inference = ["aiohttp", "pydantic (<2.0)"]
+quality = ["black (==23.7)", "mypy (==1.5.1)", "ruff (>=0.0.241)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
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 torch = ["torch"]
-typing = ["pydantic", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
+typing = ["pydantic (<2.0)", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
+
+[[package]]
+name = "humanfriendly"
+version = "10.0"
+description = "Human friendly output for text interfaces using Python"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+files = [
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+]
+
+[package.dependencies]
+pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_version >= \"3.8\""}
 
 [[package]]
 name = "humanize"
@@ -1557,6 +1908,24 @@ files = [
     {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
 ]
 
+[[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 = "itsdangerous"
 version = "2.1.2"
@@ -1623,20 +1992,17 @@ jsonpointer = ">=1.9"
 
 [[package]]
 name = "jsonpath-ng"
-version = "1.5.3"
+version = "1.6.0"
 description = "A final implementation of JSONPath for Python that aims to be standard compliant, including arithmetic and binary comparison operators and providing clear AST for metaprogramming."
 optional = false
 python-versions = "*"
 files = [
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 ]
 
 [package.dependencies]
-decorator = "*"
 ply = "*"
-six = "*"
 
 [[package]]
 name = "jsonpointer"
@@ -1649,6 +2015,119 @@ files = [
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 ]
 
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 version = "0.0.308"
@@ -1702,21 +2181,69 @@ files = [
 [package.extras]
 data = ["language-data (>=1.1,<2.0)"]
 
+[[package]]
+name = "langdetect"
+version = "1.0.9"
+description = "Language detection library ported from Google's language-detection."
+optional = false
+python-versions = "*"
+files = [
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+
+[package.dependencies]
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+
 [[package]]
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+version = "0.0.43"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
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 python-versions = ">=3.8.1,<4.0"
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 [package.dependencies]
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 requests = ">=2,<3"
 
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+description = "A unified toolkit for Deep Learning Based Document Image Analysis"
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+scipy = "*"
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+torchvision = {version = "*", optional = true, markers = "extra == \"layoutmodels\""}
+
+[package.extras]
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+layoutmodels = ["effdet", "torch", "torchvision"]
+ocr = ["google-cloud-vision (==1)", "pytesseract"]
+paddledetection = ["paddlepaddle (==2.1.0)"]
+tesseract = ["pytesseract"]
+
 [[package]]
 name = "llama-hub"
 version = "0.0.34"
@@ -1737,13 +2264,13 @@ retrying = "*"
 
 [[package]]
 name = "llama-index"
-version = "0.8.39.post2"
+version = "0.8.42"
 description = "Interface between LLMs and your data"
 optional = false
 python-versions = "*"
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 [package.dependencies]
@@ -1765,13 +2292,13 @@ urllib3 = "<2"
 
 [[package]]
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+version = "0.7.2"
 description = "Python logging made (stupidly) simple"
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+
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+cssselect = ["cssselect (>=0.7)"]
+html5 = ["html5lib"]
+htmlsoup = ["BeautifulSoup4"]
+source = ["Cython (>=0.29.35)"]
 
 [[package]]
 name = "makefun"
@@ -1895,29 +2529,15 @@ docs = ["alabaster (==0.7.13)", "autodocsumm (==0.2.11)", "sphinx (==7.0.1)", "s
 lint = ["flake8 (==6.0.0)", "flake8-bugbear (==23.7.10)", "mypy (==1.4.1)", "pre-commit (>=2.4,<4.0)"]
 tests = ["pytest", "pytz", "simplejson"]
 
-[[package]]
-name = "marshmallow-enum"
-version = "1.5.1"
-description = "Enum field for Marshmallow"
-optional = false
-python-versions = "*"
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-]
-
-[package.dependencies]
-marshmallow = ">=2.0.0"
-
 [[package]]
 name = "marvin"
-version = "1.3.0"
+version = "1.5.3"
 description = "A lightweight AI engineering framework for building natural language interfaces that are reliable, scalable, and easy to trust."
 optional = false
 python-versions = ">=3.9"
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 ]
 
 [package.dependencies]
@@ -1927,7 +2547,7 @@ httpx = ">=0.24.1"
 jinja2 = ">=3.1.2"
 jsonpatch = ">=1.33"
 openai = ">=0.27.8"
-pydantic = {version = ">=1.10.7,<2.0.0", extras = ["dotenv"]}
+pydantic = {version = ">=1.10.7", extras = ["dotenv"]}
 rich = ">=12"
 tiktoken = ">=0.4.0"
 typer = ">=0.9.0"
@@ -1942,8 +2562,58 @@ framework = ["aiosqlite (>=0.19.0)", "alembic (>=1.11.1)", "bcrypt (>=4.0.1)", "
 generator = ["datamodel-code-generator (>=0.20.0)"]
 lancedb = ["lancedb (>=0.1.8)"]
 openai = ["openai (>=0.27.8)", "tiktoken (>=0.4.0)"]
+serpapi = ["google-search-results (>=2.4.2)"]
 slackbot = ["cachetools (>=5.3.1)", "numpy (>=1.21.2)"]
-tests = ["marvin[anthropic,openai]", "pytest (>=7.3.1,<7.4.0)", "pytest-asyncio (>=0.20,<1.0)", "pytest-env (>=0.8,<1.0)", "pytest-rerunfailures (>=10,<13)", "pytest-sugar (>=0.9,<1.0)"]
+tests = ["marvin[anthropic,openai]", "pydantic-settings (>=2.0.0)", "pytest (>=7.3.1,<7.4.0)", "pytest-asyncio (>=0.20,<1.0)", "pytest-env (>=0.8,<2.0)", "pytest-rerunfailures (>=10,<13)", "pytest-sugar (>=0.9,<1.0)"]
+
+[[package]]
+name = "matplotlib"
+version = "3.8.0"
+description = "Python plotting package"
+optional = false
+python-versions = ">=3.9"
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 name = "mdurl"
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 [[package]]
@@ -2208,6 +2883,110 @@ rsa = ["cryptography (>=3.0.0)"]
 signals = ["blinker (>=1.4.0)"]
 signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
 
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+
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 [[package]]
@@ -2451,18 +3243,18 @@ xml = ["lxml (>=4.8.0)"]
 
 [[package]]
 name = "pathvalidate"
-version = "3.1.0"
+version = "3.2.0"
 description = "pathvalidate is a Python library to sanitize/validate a string such as filenames/file-paths/etc."
 optional = false
 python-versions = ">=3.7"
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 [package.extras]
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 [[package]]
 name = "pathy"
@@ -2486,6 +3278,56 @@ gcs = ["google-cloud-storage (>=1.26.0,<2.0.0)"]
 s3 = ["boto3"]
 test = ["mock", "pytest", "pytest-coverage", "typer-cli"]
 
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+description = "A wrapper around the pdftoppm and pdftocairo command line tools to convert PDF to a PIL Image list."
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+python-versions = "*"
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+]
+
+[package.dependencies]
+pillow = "*"
+
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+version = "20221105"
+description = "PDF parser and analyzer"
+optional = false
+python-versions = ">=3.6"
+files = [
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+cryptography = ">=36.0.0"
+
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+docs = ["sphinx", "sphinx-argparse"]
+image = ["Pillow"]
+
+[[package]]
+name = "pdfplumber"
+version = "0.10.2"
+description = "Plumb a PDF for detailed information about each char, rectangle, and line."
+optional = false
+python-versions = ">=3.8"
+files = [
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+
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+Pillow = ">=9.1"
+pypdfium2 = ">=4.18.0"
+
 [[package]]
 name = "pendulum"
 version = "2.1.2"
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@@ -2789,22 +3655,22 @@ test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
 
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 [[package]]
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 ]
 
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+python-versions = ">=3.5"
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+optional = false
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+[package.extras]
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+
 [[package]]
 name = "pypdf"
-version = "3.15.4"
+version = "3.16.4"
 description = "A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files"
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 python-versions = ">=3.6"
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@@ -2991,6 +3910,38 @@ docs = ["myst_parser", "sphinx", "sphinx_rtd_theme"]
 full = ["Pillow (>=8.0.0)", "PyCryptodome", "cryptography"]
 image = ["Pillow (>=8.0.0)"]
 
+[[package]]
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+optional = false
+python-versions = ">= 3.6"
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+
+[[package]]
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+version = "3.4.1"
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+optional = false
+python-versions = "*"
+files = [
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+
 [[package]]
 name = "pysocks"
 version = "1.7.1"
@@ -3003,15 +3954,30 @@ files = [
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 ]
 
+[[package]]
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+version = "0.3.10"
+description = "Python-tesseract is a python wrapper for Google's Tesseract-OCR"
+optional = false
+python-versions = ">=3.7"
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+]
+
+[package.dependencies]
+packaging = ">=21.3"
+Pillow = ">=8.0.0"
+
 [[package]]
 name = "pytest"
-version = "7.4.0"
+version = "7.4.2"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -3085,6 +4051,20 @@ files = [
 [package.extras]
 cli = ["click (>=5.0)"]
 
+[[package]]
+name = "python-iso639"
+version = "2023.6.15"
+description = "Look-up utilities for ISO 639 language codes and names"
+optional = false
+python-versions = ">=3.8"
+files = [
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+
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+
 [[package]]
 name = "python-jose"
 version = "3.3.0"
@@ -3106,6 +4086,17 @@ cryptography = ["cryptography (>=3.4.0)"]
 pycrypto = ["pyasn1", "pycrypto (>=2.6.0,<2.7.0)"]
 pycryptodome = ["pyasn1", "pycryptodome (>=3.3.1,<4.0.0)"]
 
+[[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.*"
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+]
+
 [[package]]
 name = "python-multipart"
 version = "0.0.6"
@@ -3139,13 +4130,13 @@ unidecode = ["Unidecode (>=1.1.1)"]
 
 [[package]]
 name = "pytz"
-version = "2023.3"
+version = "2023.3.post1"
 description = "World timezone definitions, modern and historical"
 optional = false
 python-versions = "*"
 files = [
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 ]
 
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 ]
 
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+version = "306"
+description = "Python for Window Extensions"
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 [[package]]
 name = "pyyaml"
 version = "6.0"
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 [[package]]
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@@ -3619,13 +4798,13 @@ test = ["asv", "gmpy2", "mpmath", "pytest", "pytest-cov", "pytest-xdist", "sciki
 
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-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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@@ -3636,13 +4815,13 @@ urllib3 = {version = ">=1.26,<3", extras = ["socks"]}
 
 [[package]]
 name = "semver"
-version = "3.0.1"
+version = "3.0.2"
 description = "Python helper for Semantic Versioning (https://semver.org)"
 optional = false
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 [[package]]
@@ -3768,112 +4947,147 @@ tornado = ["tornado (>=5)"]
 
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+version = "68.2.2"
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+
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+typing-extensions = "*"
+
+[package.extras]
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+rich = ["rich"]
+test = ["build", "pytest", "rich", "wheel"]
 
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 [package.dependencies]
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 jinja2 = "*"
 langcodes = ">=3.2.0,<4.0.0"
 murmurhash = ">=0.28.0,<1.1.0"
-numpy = ">=1.15.0"
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 packaging = ">=20.0"
 pathy = ">=0.10.0"
 preshed = ">=3.0.2,<3.1.0"
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 spacy-legacy = ">=3.0.11,<3.1.0"
 spacy-loggers = ">=1.0.0,<2.0.0"
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-thinc = ">=8.1.8,<8.2.0"
+thinc = ">=8.1.8,<8.3.0"
 tqdm = ">=4.38.0,<5.0.0"
 typer = ">=0.3.0,<0.10.0"
 wasabi = ">=0.9.1,<1.2.0"
+weasel = ">=0.1.0,<0.4.0"
 
 [package.extras]
 apple = ["thinc-apple-ops (>=0.1.0.dev0,<1.0.0)"]
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 ja = ["sudachidict-core (>=20211220)", "sudachipy (>=0.5.2,!=0.6.1)"]
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 th = ["pythainlp (>=2.0)"]
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+transformers = ["spacy-transformers (>=1.1.2,<1.4.0)"]
 
 [[package]]
 name = "spacy-legacy"
@@ -4052,63 +5268,71 @@ files = [
 
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 ]
 
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 [package.dependencies]
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+docs = ["setuptools_rust", "sphinx", "sphinx_rtd_theme"]
 testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
 
 [[package]]
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 [package.dependencies]
 filelock = "*"
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 jinja2 = "*"
 networkx = "*"
 sympy = "*"
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 ]
 
 [package.dependencies]
 numpy = "*"
 pillow = ">=5.3.0,<8.3.dev0 || >=8.4.dev0"
 requests = "*"
-torch = "2.0.1"
+torch = "2.1.0"
 
 [package.extras]
 scipy = ["scipy"]
@@ -4555,39 +5871,39 @@ telegram = ["requests"]
 
 [[package]]
 name = "transformers"
-version = "4.32.1"
+version = "4.34.0"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.8.0"
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+    {file = "transformers-4.34.0.tar.gz", hash = "sha256:cc2ae61bfbfaa45337fd9017326669fc60e4f55125f589d50da47819e3d6f504"},
 ]
 
 [package.dependencies]
 filelock = "*"
-huggingface-hub = ">=0.15.1,<1.0"
+huggingface-hub = ">=0.16.4,<1.0"
 numpy = ">=1.17"
 packaging = ">=20.0"
 pyyaml = ">=5.1"
 regex = "!=2019.12.17"
 requests = "*"
 safetensors = ">=0.3.1"
-tokenizers = ">=0.11.1,<0.11.3 || >0.11.3,<0.14"
+tokenizers = ">=0.14,<0.15"
 tqdm = ">=4.27"
 
 [package.extras]
 accelerate = ["accelerate (>=0.20.3)"]
-agents = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch (>=1.9,!=1.12.0)"]
-all = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "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]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.14)", "tensorflow-text (<2.14)", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "torchaudio", "torchvision"]
+agents = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch (>=1.10,!=1.12.0)"]
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 audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 codecarbon = ["codecarbon (==1.2.0)"]
 deepspeed = ["accelerate (>=0.20.3)", "deepspeed (>=0.9.3)"]
 deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.20.3)", "beautifulsoup4", "black (>=23.1,<24.0)", "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", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "timeout-decorator"]
-dev = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "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)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "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)", "tensorflow (>=2.6,<2.14)", "tensorflow-text (<2.14)", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
-dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "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)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorflow (>=2.6,<2.14)", "tensorflow-text (<2.14)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "urllib3 (<2.0.0)"]
-dev-torch = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "accelerate (>=0.20.3)", "beautifulsoup4", "black (>=23.1,<24.0)", "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)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "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)", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
-docs = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "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]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.14)", "tensorflow-text (<2.14)", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "torchaudio", "torchvision"]
+dev = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "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)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "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)", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.14,<0.15)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "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)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.14,<0.15)", "urllib3 (<2.0.0)"]
+dev-torch = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "accelerate (>=0.20.3)", "beautifulsoup4", "black (>=23.1,<24.0)", "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)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "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)", "timeout-decorator", "timm", "tokenizers (>=0.14,<0.15)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+docs = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "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]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timm", "tokenizers (>=0.14,<0.15)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision"]
 docs-specific = ["hf-doc-builder"]
 fairscale = ["fairscale (>0.3)"]
 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)"]
@@ -4610,15 +5926,15 @@ sigopt = ["sigopt"]
 sklearn = ["scikit-learn"]
 speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
 testing = ["GitPython (<3.1.19)", "beautifulsoup4", "black (>=23.1,<24.0)", "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", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "timeout-decorator"]
-tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.6,<2.14)", "tensorflow-text (<2.14)", "tf2onnx"]
-tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,<2.14)", "tensorflow-text (<2.14)", "tf2onnx"]
+tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx"]
+tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx"]
 tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 timm = ["timm"]
-tokenizers = ["tokenizers (>=0.11.1,!=0.11.3,<0.14)"]
-torch = ["accelerate (>=0.20.3)", "torch (>=1.9,!=1.12.0)"]
+tokenizers = ["tokenizers (>=0.14,<0.15)"]
+torch = ["accelerate (>=0.20.3)", "torch (>=1.10,!=1.12.0)"]
 torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
 torch-vision = ["Pillow (<10.0.0)", "torchvision"]
-torchhub = ["filelock", "huggingface-hub (>=0.15.1,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "tqdm (>=4.27)"]
+torchhub = ["filelock", "huggingface-hub (>=0.16.4,<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,<0.15)", "torch (>=1.10,!=1.12.0)", "tqdm (>=4.27)"]
 video = ["av (==9.2.0)", "decord (==0.6.0)"]
 vision = ["Pillow (<10.0.0)"]
 
@@ -4644,17 +5960,17 @@ sortedcontainers = "*"
 
 [[package]]
 name = "trio-websocket"
-version = "0.10.3"
+version = "0.11.1"
 description = "WebSocket library for Trio"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "trio-websocket-0.10.3.tar.gz", hash = "sha256:1a748604ad906a7dcab9a43c6eb5681e37de4793ba0847ef0bc9486933ed027b"},
-    {file = "trio_websocket-0.10.3-py3-none-any.whl", hash = "sha256:a9937d48e8132ebf833019efde2a52ca82d223a30a7ea3e8d60a7d28f75a4e3a"},
+    {file = "trio-websocket-0.11.1.tar.gz", hash = "sha256:18c11793647703c158b1f6e62de638acada927344d534e3c7628eedcb746839f"},
+    {file = "trio_websocket-0.11.1-py3-none-any.whl", hash = "sha256:520d046b0d030cf970b8b2b2e00c4c2245b3807853ecd44214acd33d74581638"},
 ]
 
 [package.dependencies]
-exceptiongroup = "*"
+exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
 trio = ">=0.11"
 wsproto = ">=0.14"
 
@@ -4681,24 +5997,24 @@ test = ["black (>=22.3.0,<23.0.0)", "coverage (>=6.2,<7.0)", "isort (>=5.0.6,<6.
 
 [[package]]
 name = "types-setuptools"
-version = "68.1.0.0"
+version = "68.2.0.0"
 description = "Typing stubs for setuptools"
 optional = false
 python-versions = "*"
 files = [
-    {file = "types-setuptools-68.1.0.0.tar.gz", hash = "sha256:2bc9b0c0818f77bdcec619970e452b320a423bb3ac074f5f8bc9300ac281c4ae"},
-    {file = "types_setuptools-68.1.0.0-py3-none-any.whl", hash = "sha256:0c1618fb14850cb482adbec602bbb519c43f24942d66d66196bc7528320f33b1"},
+    {file = "types-setuptools-68.2.0.0.tar.gz", hash = "sha256:a4216f1e2ef29d089877b3af3ab2acf489eb869ccaf905125c69d2dc3932fd85"},
+    {file = "types_setuptools-68.2.0.0-py3-none-any.whl", hash = "sha256:77edcc843e53f8fc83bb1a840684841f3dc804ec94562623bfa2ea70d5a2ba1b"},
 ]
 
 [[package]]
 name = "typing-extensions"
-version = "4.7.1"
-description = "Backported and Experimental Type Hints for Python 3.7+"
+version = "4.8.0"
+description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "typing_extensions-4.7.1-py3-none-any.whl", hash = "sha256:440d5dd3af93b060174bf433bccd69b0babc3b15b1a8dca43789fd7f61514b36"},
-    {file = "typing_extensions-4.7.1.tar.gz", hash = "sha256:b75ddc264f0ba5615db7ba217daeb99701ad295353c45f9e95963337ceeeffb2"},
+    {file = "typing_extensions-4.8.0-py3-none-any.whl", hash = "sha256:8f92fc8806f9a6b641eaa5318da32b44d401efaac0f6678c9bc448ba3605faa0"},
+    {file = "typing_extensions-4.8.0.tar.gz", hash = "sha256:df8e4339e9cb77357558cbdbceca33c303714cf861d1eef15e1070055ae8b7ef"},
 ]
 
 [[package]]
@@ -4727,22 +6043,140 @@ files = [
     {file = "tzdata-2023.3.tar.gz", hash = "sha256:11ef1e08e54acb0d4f95bdb1be05da659673de4acbd21bf9c69e94cc5e907a3a"},
 ]
 
+[[package]]
+name = "unstructured"
+version = "0.10.23"
+description = "A library that prepares raw documents for downstream ML tasks."
+optional = false
+python-versions = ">=3.7.0"
+files = [
+    {file = "unstructured-0.10.23-py3-none-any.whl", hash = "sha256:0a289050b277993887a7dbddfe773f207b86144cfa8fda2200c35547c47b48e5"},
+    {file = "unstructured-0.10.23.tar.gz", hash = "sha256:180d00ecfddfda8621925ddebce7370fcf68a5976e5e6493b0d92447a3d4872b"},
+]
+
+[package.dependencies]
+backoff = "*"
+beautifulsoup4 = "*"
+chardet = "*"
+dataclasses-json = "*"
+emoji = "*"
+filetype = "*"
+langdetect = "*"
+lxml = "*"
+nltk = "*"
+numpy = "*"
+onnx = {version = "*", optional = true, markers = "extra == \"pdf\""}
+pdf2image = {version = "*", optional = true, markers = "extra == \"pdf\""}
+"pdfminer.six" = {version = "*", optional = true, markers = "extra == \"pdf\""}
+python-iso639 = "*"
+python-magic = "*"
+rapidfuzz = "*"
+requests = "*"
+tabulate = "*"
+unstructured-inference = {version = "0.7.5", optional = true, markers = "extra == \"pdf\""}
+"unstructured.pytesseract" = {version = ">=0.3.12", optional = true, markers = "extra == \"pdf\""}
+
+[package.extras]
+airtable = ["pyairtable"]
+all-docs = ["ebooklib", "markdown", "msg-parser", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pypandoc", "python-docx (>=1.0.1)", "python-pptx (<=0.6.21)", "unstructured-inference (==0.7.5)", "unstructured.pytesseract (>=0.3.12)", "xlrd"]
+azure = ["adlfs", "fsspec (==2023.9.1)"]
+azure-cognitive-search = ["azure-search-documents"]
+biomed = ["bs4"]
+box = ["boxfs", "fsspec (==2023.9.1)"]
+confluence = ["atlassian-python-api"]
+csv = ["pandas"]
+delta-table = ["deltalake", "fsspec (==2023.9.1)"]
+discord = ["discord-py"]
+doc = ["python-docx (>=1.0.1)"]
+docx = ["python-docx (>=1.0.1)"]
+dropbox = ["dropboxdrivefs", "fsspec (==2023.9.1)"]
+elasticsearch = ["elasticsearch", "jq"]
+epub = ["ebooklib"]
+gcs = ["bs4", "fsspec (==2023.9.1)", "gcsfs"]
+github = ["pygithub (>1.58.0)"]
+gitlab = ["python-gitlab"]
+google-drive = ["google-api-python-client"]
+huggingface = ["langdetect", "sacremoses", "sentencepiece", "torch", "transformers"]
+image = ["onnx", "pdf2image", "pdfminer.six", "unstructured-inference (==0.7.5)", "unstructured.pytesseract (>=0.3.12)"]
+jira = ["atlassian-python-api"]
+local-inference = ["ebooklib", "markdown", "msg-parser", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pypandoc", "python-docx (>=1.0.1)", "python-pptx (<=0.6.21)", "unstructured-inference (==0.7.5)", "unstructured.pytesseract (>=0.3.12)", "xlrd"]
+md = ["markdown"]
+msg = ["msg-parser"]
+notion = ["htmlBuilder", "notion-client"]
+odt = ["pypandoc", "python-docx (>=1.0.1)"]
+onedrive = ["Office365-REST-Python-Client (<2.4.3)", "bs4", "msal"]
+openai = ["langchain", "openai", "tiktoken"]
+org = ["pypandoc"]
+outlook = ["Office365-REST-Python-Client (<2.4.3)", "msal"]
+paddleocr = ["unstructured.paddleocr (==2.6.1.3)"]
+pdf = ["onnx", "pdf2image", "pdfminer.six", "unstructured-inference (==0.7.5)", "unstructured.pytesseract (>=0.3.12)"]
+ppt = ["python-pptx (<=0.6.21)"]
+pptx = ["python-pptx (<=0.6.21)"]
+reddit = ["praw"]
+rst = ["pypandoc"]
+rtf = ["pypandoc"]
+s3 = ["fsspec (==2023.9.1)", "s3fs"]
+salesforce = ["simple-salesforce"]
+sharepoint = ["Office365-REST-Python-Client (<2.4.3)", "msal"]
+slack = ["slack-sdk"]
+tsv = ["pandas"]
+wikipedia = ["wikipedia"]
+xlsx = ["networkx", "openpyxl", "pandas", "xlrd"]
+
+[[package]]
+name = "unstructured-inference"
+version = "0.7.5"
+description = "A library for performing inference using trained models."
+optional = false
+python-versions = ">=3.7.0"
+files = [
+    {file = "unstructured_inference-0.7.5-py3-none-any.whl", hash = "sha256:d9a6d618abdab94dcd4f5e05a646a0130389ff6c3701b8b4d24e04c005db8867"},
+    {file = "unstructured_inference-0.7.5.tar.gz", hash = "sha256:c94b98ec24c91600a1c90d0a372cc4697fb895113f9afc8cfabfd295eb6e0412"},
+]
+
+[package.dependencies]
+huggingface-hub = "*"
+layoutparser = {version = "*", extras = ["layoutmodels", "tesseract"]}
+onnxruntime = "<1.16"
+opencv-python = "!=4.7.0.68"
+python-multipart = "*"
+rapidfuzz = "*"
+transformers = ">=4.25.1"
+
+[package.extras]
+supergradients = ["super-gradients", "supervision"]
+
+[[package]]
+name = "unstructured-pytesseract"
+version = "0.3.12"
+description = "Python-tesseract is a python wrapper for Google's Tesseract-OCR"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "unstructured.pytesseract-0.3.12-py3-none-any.whl", hash = "sha256:6ed42530fc697bb08d1ae4884cc517ee808620c1c1414efe8d5d90334da068d3"},
+    {file = "unstructured.pytesseract-0.3.12.tar.gz", hash = "sha256:751a21d67b1f109036bf4daf796d3e04631697a355efd650f3373412b249de2e"},
+]
+
+[package.dependencies]
+packaging = ">=21.3"
+Pillow = ">=8.0.0"
+
 [[package]]
 name = "urllib3"
-version = "1.26.16"
+version = "1.26.17"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
 files = [
-    {file = "urllib3-1.26.16-py2.py3-none-any.whl", hash = "sha256:8d36afa7616d8ab714608411b4a3b13e58f463aee519024578e062e141dce20f"},
-    {file = "urllib3-1.26.16.tar.gz", hash = "sha256:8f135f6502756bde6b2a9b28989df5fbe87c9970cecaa69041edcce7f0589b14"},
+    {file = "urllib3-1.26.17-py2.py3-none-any.whl", hash = "sha256:94a757d178c9be92ef5539b8840d48dc9cf1b2709c9d6b588232a055c524458b"},
+    {file = "urllib3-1.26.17.tar.gz", hash = "sha256:24d6a242c28d29af46c3fae832c36db3bbebcc533dd1bb549172cd739c82df21"},
 ]
 
 [package.dependencies]
 PySocks = {version = ">=1.5.6,<1.5.7 || >1.5.7,<2.0", optional = true, markers = "extra == \"socks\""}
 
 [package.extras]
-brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
+brotli = ["brotli (==1.0.9)", "brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
 secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
 socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
 
@@ -4766,15 +6200,26 @@ standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)",
 
 [[package]]
 name = "validators"
-version = "0.21.0"
+version = "0.22.0"
 description = "Python Data Validation for Humans™"
 optional = false
-python-versions = ">=3.8,<4.0"
+python-versions = ">=3.8"
 files = [
-    {file = "validators-0.21.0-py3-none-any.whl", hash = "sha256:3470db6f2384c49727ee319afa2e97aec3f8fad736faa6067e0fd7f9eaf2c551"},
-    {file = "validators-0.21.0.tar.gz", hash = "sha256:245b98ab778ed9352a7269c6a8f6c2a839bed5b2a7e3e60273ce399d247dd4b3"},
+    {file = "validators-0.22.0-py3-none-any.whl", hash = "sha256:61cf7d4a62bbae559f2e54aed3b000cea9ff3e2fdbe463f51179b92c58c9585a"},
+    {file = "validators-0.22.0.tar.gz", hash = "sha256:77b2689b172eeeb600d9605ab86194641670cdb73b60afd577142a9397873370"},
 ]
 
+[package.extras]
+docs-offline = ["myst-parser (>=2.0.0)", "pypandoc-binary (>=1.11)", "sphinx (>=7.1.1)"]
+docs-online = ["mkdocs (>=1.5.2)", "mkdocs-git-revision-date-localized-plugin (>=1.2.0)", "mkdocs-material (>=9.2.6)", "mkdocstrings[python] (>=0.22.0)", "pyaml (>=23.7.0)"]
+hooks = ["pre-commit (>=3.3.3)"]
+package = ["build (>=1.0.0)", "twine (>=4.0.2)"]
+runner = ["tox (>=4.11.1)"]
+sast = ["bandit[toml] (>=1.7.5)"]
+testing = ["pytest (>=7.4.0)"]
+tooling = ["black (>=23.7.0)", "pyright (>=1.1.325)", "ruff (>=0.0.287)"]
+tooling-extras = ["pyaml (>=23.7.0)", "pypandoc-binary (>=1.11)", "pytest (>=7.4.0)"]
+
 [[package]]
 name = "wasabi"
 version = "1.1.2"
@@ -4789,25 +6234,46 @@ files = [
 [package.dependencies]
 colorama = {version = ">=0.4.6", markers = "sys_platform == \"win32\" and python_version >= \"3.7\""}
 
+[[package]]
+name = "weasel"
+version = "0.3.3"
+description = "Weasel: A small and easy workflow system"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "weasel-0.3.3-py3-none-any.whl", hash = "sha256:141b12fd0d38599ff8c567208d1db0f5af1b532363fadeba27d7bc87d751d88a"},
+    {file = "weasel-0.3.3.tar.gz", hash = "sha256:924962dfc9d89602552e7332846e95d264eca18aebe2b96c2527d46b7bb7cf9c"},
+]
+
+[package.dependencies]
+cloudpathlib = ">=0.7.0,<0.17.0"
+confection = ">=0.0.4,<0.2.0"
+packaging = ">=20.0"
+pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<3.0.0"
+requests = ">=2.13.0,<3.0.0"
+smart-open = ">=5.2.1,<7.0.0"
+srsly = ">=2.4.3,<3.0.0"
+typer = ">=0.3.0,<0.10.0"
+wasabi = ">=0.9.1,<1.2.0"
+
 [[package]]
 name = "weaviate-client"
-version = "3.23.2"
+version = "3.24.2"
 description = "A python native Weaviate client"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "weaviate-client-3.23.2.tar.gz", hash = "sha256:1c8c94df032dd2fa5a4ea615fc69ccb983ffad5cc02974f78c793839e61ac150"},
-    {file = "weaviate_client-3.23.2-py3-none-any.whl", hash = "sha256:88ffc38cca07806d64726cc74bc194c7da50b222aa4e2cd129f4c1f5e53e9b61"},
+    {file = "weaviate-client-3.24.2.tar.gz", hash = "sha256:6914c48c9a7e5ad0be9399271f9cb85d6f59ab77476c6d4e56a3925bf149edaa"},
+    {file = "weaviate_client-3.24.2-py3-none-any.whl", hash = "sha256:bc50ca5fcebcd48de0d00f66700b0cf7c31a97c4cd3d29b4036d77c5d1d9479b"},
 ]
 
 [package.dependencies]
-authlib = ">=1.1.0"
-requests = ">=2.28.0,<=2.31.0"
-tqdm = ">=4.59.0,<5.0.0"
-validators = ">=0.18.2,<=0.21.0"
+authlib = ">=1.2.1,<2.0.0"
+requests = ">=2.30.0,<3.0.0"
+validators = ">=0.21.2,<1.0.0"
 
 [package.extras]
-grpc = ["grpcio", "grpcio-tools"]
+grpc = ["grpcio (>=1.57.0,<2.0.0)", "grpcio-tools (>=1.57.0,<2.0.0)"]
 
 [[package]]
 name = "werkzeug"
@@ -5057,4 +6523,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "d022983c3e6224970ff0e1d90bffb2e303c6a474ff1fc87345f0227eae2c7b29"
+content-hash = "cdb265ed293e8b2cd58fa61cf4061d4fcbf2afe483d5c6a676d51d3ceeb7a38f"
diff --git a/level_3/pyproject.toml b/level_3/pyproject.toml
index 0b064e790..f223a24a6 100644
--- a/level_3/pyproject.toml
+++ b/level_3/pyproject.toml
@@ -48,6 +48,7 @@ llama-hub = "^0.0.34"
 sqlalchemy = "^2.0.21"
 asyncpg = "^0.28.0"
 dash = "^2.14.0"
+unstructured = {extras = ["pdf"], version = "^0.10.23"}
 
 
 
diff --git a/level_3/rag_test_manager.py b/level_3/rag_test_manager.py
index a75eb6c11..40f0ff6a2 100644
--- a/level_3/rag_test_manager.py
+++ b/level_3/rag_test_manager.py
@@ -1,4 +1,5 @@
-
+import argparse
+import json
 import random
 import itertools
 
@@ -242,9 +243,9 @@ def data_location_route(data_string: str):
     class LocationRoute(Enum):
         """Represents classifier for the data location"""
 
-        DEVICE = "DEVICE"
-        URL = "URL"
-        DATABASE = "DATABASE"
+        DEVICE = "file_path_starting_with_.data_or_containing_it"
+        # URL = "url starting with http or https"
+        DATABASE = "database_name_like_postgres_or_mysql"
 
     return LocationRoute(data_string).name
 
@@ -283,7 +284,9 @@ async def start_test(data, test_set=None, user_id=None, params=None, job_id=None
 
         if params is None:
             data_format = data_format_route(data)  # Assume data_format_route is predefined
-            data_location = data_location_route(data)  # Assume data_location_route is predefined
+            logging.info("Data format is %s", data_format)
+            data_location = data_location_route(data)
+            logging.info("Data location is %s",data_location)# Assume data_location_route is predefined
             test_params = generate_param_variants(
                 included_params=['chunk_size'])
 
@@ -429,7 +432,7 @@ async def main():
     ]
     # "https://www.ibiblio.org/ebooks/London/Call%20of%20Wild.pdf"
     #http://public-library.uk/ebooks/59/83.pdf
-    result = await start_test("http://public-library.uk/ebooks/59/83.pdf", test_set=test_set, user_id="676", params=None, metadata=metadata)
+    result = await start_test(".data/3ZCCCW.pdf", test_set=test_set, user_id="676", params=None, metadata=metadata)
     #
     # parser = argparse.ArgumentParser(description="Run tests against a document.")
     # parser.add_argument("--url", required=True, help="URL of the document to test.")
@@ -440,7 +443,7 @@ async def main():
     # parser.add_argument("--generate_test_set", required=True, help="Make a test set.")
     # parser.add_argument("--only_llm_context", required=True, help="Do a test only within the existing LLM context")
     # args = parser.parse_args()
-
+    #
     # try:
     #     with open(args.test_set, "r") as file:
     #         test_set = json.load(file)
diff --git a/level_3/vectordb/loaders/loaders.py b/level_3/vectordb/loaders/loaders.py
index 5c3cda1c6..8dad3a5d9 100644
--- a/level_3/vectordb/loaders/loaders.py
+++ b/level_3/vectordb/loaders/loaders.py
@@ -7,6 +7,8 @@ sys.path.append(os.path.dirname(os.path.abspath(__file__)))
 from vectordb.chunkers.chunkers import chunk_data
 from llama_hub.file.base import SimpleDirectoryReader
 
+from langchain.document_loaders import DirectoryLoader
+
 import requests
 async def _document_loader( observation: str, loader_settings: dict):
     # Check the format of the document
@@ -28,12 +30,20 @@ async def _document_loader( observation: str, loader_settings: dict):
             pages = chunk_data(chunk_strategy= loader_strategy, source_data=file_content, chunk_size=chunk_size, chunk_overlap=chunk_overlap)
 
             return pages
-        elif loader_settings.get("source") == "file":
+        elif loader_settings.get("source") == "DEVICE":
+            import os
 
-            loader = SimpleDirectoryReader('./data', recursive=True, exclude_hidden=True)
-            documents = loader.load_data()
-            pages = documents.load_and_split()
-            return pages
+            current_directory = os.getcwd()
+            import logging
+            logging.info("Current Directory: %s", current_directory)
+
+            loader = DirectoryLoader(".data", recursive=True)
+
+            # loader = SimpleDirectoryReader(".data", recursive=True, exclude_hidden=True)
+            documents = loader.load()
+            logging.info("Documents: %s", documents)
+            # pages = documents.load_and_split()
+            return documents
 
     elif document_format == "text":
         pages = chunk_data(chunk_strategy= loader_strategy, source_data=observation, chunk_size=chunk_size, chunk_overlap=chunk_overlap)