bakrianoo/mini-rag
An Educational Project (step by step) to teach how to build a production-ready app for RAG application.
Implements a complete RAG pipeline using FastAPI, PostgreSQL with pgvector for semantic search, and MongoDB/SQLAlchemy for data persistence, with support for multiple LLM backends including local Ollama and OpenAI. Features asynchronous task processing via Celery workers for file ingestion and vector indexing, plus production deployment patterns with Docker, monitoring via Prometheus/Grafana, and database migrations using Alembic.
541 stars. No commits in the last 6 months.
Stars
541
Forks
217
Language
Python
License
Apache-2.0
Category
Last pushed
Aug 15, 2025
Commits (30d)
0
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