faris771/Production-Ready-RAG
A production-grade Retrieval Augmented Generation (RAG) system built with FastAPI, Inngest, Qdrant, and Google Gemini. This system allows you to ingest PDF documents, store their embeddings in a vector database, and query them using natural language with AI-powered responses.
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Python
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Last pushed
Feb 02, 2026
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