Index and query local knowledge bases with hybrid BM25, vector, and LLM reranking.
npx skills add https://github.com/Monjyu1101/AiDiy2026 --skill qmd-monjyu1101
Please help me install this Agent Skill. Skill: qmd Source: https://github.com/Monjyu1101/AiDiy2026/tree/main/backend_hermes/optional-skills/research/qmd Command: npx skills add https://github.com/Monjyu1101/AiDiy2026 --skill qmd-monjyu1101
Index and query local knowledge bases across notes, transcripts, and documentation using a hybrid retrieval engine that blends BM25, vector search, and LLM reranking for high-quality results.
Query your local knowledge base with qmd to retrieve relevant notes and transcripts.
High-intent search queries and answers about installing and using this skill.
You can search local markdown notes and transcripts offline using a hybrid retrieval engine that blends BM25 and vector search. This approach operates entirely on-device without cloud dependencies, ensuring private and offline knowledge retrieval.
Hybrid retrieval improves local knowledge search by combining BM25 keyword matching, vector search, and LLM reranking. This blended approach enhances result quality by leveraging both exact term frequency and semantic context from your personal knowledge base.
Yes, local knowledge search supports MCP integration and CLI access on both macOS and Linux environments. This allows Hermes agents to query your personal documentation and meeting transcripts directly through MCP exposure.
The best way to query personal documentation without cloud dependencies is using an edge-first local search tool. It indexes your text collections on-device, utilizing LLM reranking and vector search to deliver high-quality retrieval results securely.
Yes, hybrid retrieval supports indexing meeting transcripts and text collections locally. It processes markdown and text files across your local knowledge base, applying BM25 and vector search to retrieve relevant transcript sections accurately.
You use an offline knowledge base to ensure data privacy and eliminate cloud dependencies when searching personal notes. Local indexing provides edge-first retrieval, allowing you to query transcripts and documentation securely without external network calls.
ChimeraFoundationaIndex local markdown notes, transcripts, and docs for hybrid on-device search.
viktorbezdekExplain context engineering fundamentals for language model agents.
kaminocorpRetrieve relevant information from local knowledge bases using hybrid search.
akselikorhonen-siiliPerform vector-based semantic search over indexed document collections.
