Tanny1810/DocQuery
Production-grade document ingestion and Retrieval-Augmented Generation (RAG) system demonstrating scalable backend architecture using FastAPI, message queues, and dedicated workers. Supports async processing, S3-based storage, text chunking, embeddings, vector search, and clean separation of concerns.
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Language
Python
License
MIT
Category
Last pushed
Jan 29, 2026
Commits (30d)
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