WikiTeq/rag-of-all-trades

A complete RAG microservice that ingests from multiple sources, stores embeddings in PGVector with hybrid search, and provides both raw chunk retrieval and LLM-powered answer generation. Built with FastAPI, Celery, Redis, and LlamaIndex. Production-ready with rate limiting, health checks, and Docker deployment.

GitHub repository with 7 stars and 2 forks.

Language: Python

Topics: ai, bm25, docker, llamaindex, llamaindex-rag, pgvector, rag, rag-pipeline, retrieval, retrieval-augmented-generation

Open provider repository

Latest metric snapshot

2026-06-05: 7 stars and 2 forks.

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