irahardianto/qurio
Self-hosted RAG engine for AI coding assistants. Ingests technical docs & code repositories locally with structure-aware chunking. Serves grounded context via MCP to prevent hallucinations in software development workflows.
Implements hybrid BM25 + vector search with optional reranking (Jina/Cohere), paired with an OCR pipeline for scanned PDFs via Docling. The microservice architecture combines a Go backend, Python ingestion worker, Weaviate vector store, PostgreSQL metadata layer, and NSQ task queue—exposing a stateless HTTP MCP endpoint that agents query through tools like `qurio_search` and `qurio_read_page`.
Stars
11
Forks
5
Language
Go
License
MIT
Category
Last pushed
Feb 15, 2026
Commits (30d)
0
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