SAG
Self-hosted knowledge base app built on a novel SAG retrieval architecture, beating GraphRAG on benchmarks.
A local-first, self-hosted knowledge base application that parses uploaded documents into chunks, extracts events and entities, and uses an event-entity indexing plus query-time dynamic hyperedges retrieval architecture. It helps make scattered documents searchable, connected, and traceable to source passages, offering per-source/global search, an inspectable knowledge graph, cited multi-turn chat, and API access; available as a signed desktop app for macOS/Windows or deployable via Docker and requiring an OpenAI-compatible LLM/embedding endpoint. Intended for individuals and small teams building a personal RAG-style knowledge base and maintained with a visible GitHub presence.

