Retrieve and synthesize cited answers from a local knowledge base.
npx skills add https://github.com/sixtycat2000-ctrl/gbrain-qmd --skill query-sixtycat2000-ctrl
Please help me install this Agent Skill. Skill: query Source: https://github.com/sixtycat2000-ctrl/gbrain-qmd/tree/main/skills/query Command: npx skills add https://github.com/sixtycat2000-ctrl/gbrain-qmd --skill query-sixtycat2000-ctrl
This Skill helps users quickly and accurately find information from a vast knowledge base, ensuring that all responses are grounded in the brain's contents and properly cited.
Ask the query skill to "What do we know about AI advancements in the last decade?"
High-intent search queries and answers about installing and using this skill.
To retrieve accurate information from a local knowledge base without hallucinations, this Skill synthesizes precise responses directly from indexed content, ensuring every claim is grounded with citations tracing back to specific pages.
The best way to search and synthesize answers from complex queries is using advanced search and synthesis methods that decompose questions, optionally leveraging cloud LLM support for enhanced query expansion.
Yes, you need SQLite and QMD to run local information retrieval and indexing, as these dependencies provide the foundational environment for local indexing and search capabilities required by the Skill.
Citation propagation works by ensuring every claim in a synthesized response is backed by a citation, tracing the retrieved information directly back to a specific page within the brain's knowledge base.
Yes, you can use cloud LLMs to enhance query expansion for local knowledge base search, providing optional support that improves the understanding and decomposition of complex user questions.
Limitations of using local indexing for knowledge base search include relying entirely on the contents within the brain's knowledge base, requiring SQLite and QMD setup, and needing optional cloud LLMs for complex query expansion.
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