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WHAT IT DOES
What does it do?
raggy is a RAG command-line tool for local documents built with LangChain, Chroma, and Ollama. Indexing that combines vector search and BM25, along with embedding generation, runs locally. Answer generation can use either a local LLM or a remote API.
KEY FEATURES
Key features
- Hybrid search combining vector search and BM25 indexing
- Return document-based answers with source locations and relevance scores
- Automatically process images and scanned documents with OCR
- Generate answers with a local LLM or a remote API-based LLM
- Automatically download configured models and reindex documents
- Manage input paths, database location, and runtime options in a configuration file