haiku.rag: A Retrieval-Augmented Generation Library on SQLite

haiku.rag is a Retrieval-Augmented Generation (RAG) library built on SQLite, eliminating the need for additional servers. It supports various embedding providers (Ollama, VoyageAI, OpenAI, and custom), offering hybrid search combining vector and full-text search. Features include file monitoring, extensive file format support, a CLI, and a Python client for seamless document management and retrieval.