It lets teams turn collections of markdown documentation into an interactive, AI‑driven knowledge base. By indexing docs with both BM25 keyword vectors and semantic embeddings, it offers fast hybrid search and a chat interface that answers queries using local or cloud LLMs. The project provides a FastAPI backend, a React frontend, Docker deployment, CLI tools and a plugin system, making setup easy for developers needing searchable docs without SaaS lock‑in. Compared to generic vector search tools, it adds versioned history, knowledge‑graph links and a planner for richer documentation context.
View on GitHub →Z7Lab/markdownkb