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docs: showcase RAG with LlamaIndex and LangChain (#71)
Signed-off-by: Panos Vagenas <35837085+vagenas@users.noreply.github.com>
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@@ -23,7 +23,7 @@ packages = [{include = "docling"}]
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[tool.poetry.dependencies]
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python = "^3.10"
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pydantic = "^2.0.0"
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docling-core = "^1.2.0"
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docling-core = "^1.3.0"
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docling-ibm-models = "^1.1.7"
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deepsearch-glm = "^0.21.0"
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filetype = "^1.2.0"
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@@ -38,6 +38,29 @@ rtree = "^1.3.0"
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scipy = "^1.14.1"
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pyarrow = "^16.1.0"
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#########
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# extras:
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#########
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python-dotenv = { version = "^1.0.1", optional = true }
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llama-index-embeddings-huggingface = { version = "^0.3.1", optional = true }
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llama-index-llms-huggingface-api = { version = "^0.2.0", optional = true }
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llama-index-vector-stores-milvus = { version = "^0.2.1", optional = true }
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langchain-huggingface = { version = "^0.0.3", optional = true}
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langchain-milvus = { version = "^0.1.4", optional = true }
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langchain-text-splitters = { version = "^0.2.4", optional = true }
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##############
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# constraints:
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##############
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torch = [
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{version = "^2.2.2", optional = true, markers = "sys_platform != 'darwin' or platform_machine != 'x86_64'"},
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{version = "~2.2.2", optional = true, markers = "sys_platform == 'darwin' and platform_machine == 'x86_64'"}
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]
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torchvision = [
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{version = "^0", optional = true, markers = "sys_platform != 'darwin' or platform_machine != 'x86_64'"},
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{version = "~0.17.2", optional = true, markers = "sys_platform == 'darwin' and platform_machine == 'x86_64'"}
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]
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[tool.poetry.group.dev.dependencies]
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black = {extras = ["jupyter"], version = "^24.4.2"}
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pytest = "^7.2.2"
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@@ -51,11 +74,26 @@ pytest-xdist = "^3.3.1"
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types-requests = "^2.31.0.2"
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flake8-pyproject = "^1.2.3"
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pylint = "^2.17.5"
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ipykernel = "^6.29.5"
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ipywidgets = "^8.1.5"
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nbqa = "^1.9.0"
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[tool.poetry.group.examples.dependencies]
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datasets = "^2.21.0"
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[tool.poetry.extras]
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examples = [
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"python-dotenv",
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# LlamaIndex examples:
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"llama-index-embeddings-huggingface",
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"llama-index-llms-huggingface-api",
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"llama-index-vector-stores-milvus",
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# LangChain examples:
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"langchain-huggingface",
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"langchain-milvus",
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"langchain-text-splitters",
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]
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[build-system]
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requires = ["poetry-core"]
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build-backend = "poetry.core.masonry.api"
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