Search local knowledge bases with hybrid BM25, vector, and reranking retrieval.
npx skills add https://github.com/AlexKoncept/omnia-hub --skill qmd-alexkoncept
Please help me install this Agent Skill. Skill: qmd Source: https://github.com/AlexKoncept/omnia-hub/tree/main/HERMES/optional-skills/research/qmd Command: npx skills add https://github.com/AlexKoncept/omnia-hub --skill qmd-alexkoncept
Local, on-device search for personal knowledge bases, notes, docs, and meeting transcripts using a hybrid retrieval engine that combines BM25, vector search, and LLM reranking to deliver relevant results without cloud dependencies.
Query your local notes with a simple keyword, for example 'qmd search onboarding'.
High-intent search queries and answers about installing and using this skill.
Search local notes and transcripts offline using a hybrid retrieval engine combining BM25, vector search, and LLM reranking. It runs entirely on your machine with no cloud dependencies, ensuring your personal knowledge base data never leaves your device.
Hybrid retrieval for personal knowledge management combines BM25 keyword matching, vector search, and LLM reranking to surface relevant results. This approach delivers fast, accurate retrieval across large collections of local notes, docs, and meeting transcripts.
You can use this hybrid search engine with Hermes automation via MCP integration. It exposes tools to the Hermes Agent, enabling seamless automation and chaining with other skills for local knowledge base retrieval tasks.
Local vector search works on macOS and Linux without cloud dependencies. The hybrid retrieval engine runs entirely on-device, requiring no cloud connectivity to perform BM25, vector search, and LLM reranking across your local docs.
The best way to find meeting decisions across large document collections is using a local hybrid retrieval engine. By combining BM25, vector search, and LLM reranking, you can quickly locate specific snippets or decisions from research docs and meeting transcripts.
HarriesIndex local notes and search with BM25, vector search, and LLM reranking.
eddieluengSearch local markdown and text collections with hybrid retrieval and reranking.
jacardlIndex and search local knowledge bases with hybrid retrieval.
math-incIndex and search private notes locally with hybrid retrieval.
