chore: initial public snapshot for github upload
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"""
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LiteLLM RAG (Retrieval Augmented Generation) Module.
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Provides an all-in-one API for document ingestion:
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Upload -> (OCR) -> Chunk -> Embed -> Vector Store
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"""
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from litellm.rag.main import aingest, aquery, ingest, query
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__all__ = ["ingest", "aingest", "query", "aquery"]
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# Expose at litellm.rag level for convenience
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async def arag_ingest(*args, **kwargs):
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"""Alias for aingest."""
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return await aingest(*args, **kwargs)
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def rag_ingest(*args, **kwargs):
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"""Alias for ingest."""
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return ingest(*args, **kwargs)
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