Raggy is an MIT-licensed CLI for RAG over local documents — hybrid vector+BM25 retrieval with reranking, running fully locally via Ollama.
Yes, Raggy is open source under the MIT license.
Raggy is free to use.
Yes, Raggy can be self-hosted (the source is available under the MIT license).
Open-source CLI (MIT, Python) for retrieval-augmented Q&A over your local documents: hybrid retrieval (vector + BM25), cross-encoder reranking, and fully local embedding/indexing via Ollama — answer generation can stay local or use a remote API, so private GTM docs never have to leave your machine.
The cheapest useful "knowledge layer" for a lean GTM team is RAG over the docs you already have — ICP notes, call transcripts, positioning. This does that as one local CLI with sane retrieval defaults (hybrid + rerank), and the local-first design keeps client and pipeline data on your own hardware.