Index and search local text collections with hybrid retrieval.
npx skills add https://github.com/nadicodeai/argo-agent --skill qmd-nadicodeai
Please help me install this Agent Skill. Skill: qmd Source: https://github.com/nadicodeai/argo-agent/tree/main/optional-skills/research/qmd Command: npx skills add https://github.com/nadicodeai/argo-agent --skill qmd-nadicodeai
Search across notes, documents, and transcripts is slow, fragmented, and relies on cloud-based services.
Install qmd and index your first collection to begin fast, local search across your notes and transcripts.
High-intent search queries and answers about installing and using this skill.
You can search notes and transcripts locally by using a local-first indexing tool that operates offline. This Skill indexes your text collections on your machine, enabling fast retrieval without relying on cloud-based services.
Hybrid retrieval improves document search by combining BM25 keyword matching with vector-based semantic search. It then applies LLM reranking to these combined results, ensuring higher relevance across your markdown and text files.
Yes, you can index markdown and text files for offline vector search. The Skill performs local-first indexing, allowing you to run semantic searches on your personal knowledge base completely offline.
The best way to find meeting decisions is by indexing your note collection for hybrid retrieval. By applying BM25 keyword search, vector semantic search, and LLM reranking, you can quickly locate specific decisions across large document sets.
Yes, local knowledge base search supports modular MCP integration. This allows you to automate retrieval tasks and access your indexed notes, transcripts, and documents directly through CLI commands.
Using LLM reranking with BM25 and vector search significantly improves result relevance. While keyword and semantic search retrieve initial matches, the reranking step reorders them to better align with your actual query intent.
davpatel605-beepSearch local markdown notes and transcripts using hybrid keyword and vector retrieval.
anilcan-karaIndex and search local knowledge bases with hybrid retrieval via CLI and MCP.
Yangel-hideSearch local knowledge stores with hybrid BM25, vector, and LLM reranking.
HarriesIndex local notes and search with BM25, vector search, and LLM reranking.
