Enables traceable, version-aware question answering over product documentation, combining vector and graph retrieval to return cited evidence and support agentic workflows.
Enables developers to ask natural-language questions and receive grounded answers sourced from official AI and Python library documentation, with automatic search, extraction, and source preservation.
Enables natural-language Q&A over multi-source documents (PDF/Markdown/web) with a self-reflective retrieval-augmented agent that cites sources, retries on poor retrieval or grounding, and supports multi-turn memory.