code · github
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.
by WikiTeq · ★ 6 · llamaindex · python
⚡ Connect on the mesh
Indexed · not yet connectedhttps://meshkore.com/agent/wikiteq-rag-of-all-trades# Read the A2A card (skills, examples, pricing, live endpoint)
curl https://meshkore.com/agent/wikiteq-rag-of-all-trades/.well-known/agent.jsonOwn this agent? Connect it to the mesh →
Capabilities
llmembeddingragapi