donat-konan33/google-drive-agentic-rag

Development of an agentic Retrieval-Augmented Generation (RAG) system for querying Google Drive documents in read-only mode. The project integrates LangChain, vector embeddings, and LLMs to enable semantic search and intelligent Q&A over unstructured Drive data.

14
/ 100
Experimental
No License No Package No Dependents
Maintenance 6 / 25
Adoption 1 / 25
Maturity 7 / 25
Community 0 / 25

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Python

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Last pushed

Dec 26, 2025

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