Build Your Own Local AI Search Engine with QMD

Описание: Stop digging through endless folders and start finding what you need instantly! 🚀 Meet QMD (Query Markup Documents), the mini CLI search engine that brings state-of-the-art AI search directly to your local machine. Whether it is markdown notes, meeting transcripts, or complex work documentation, QMD handles it all with blazing speed and total privacy. 🔒

Why is QMD a game-changer? It combines the best of both worlds: lightning-fast BM25 keyword search and deep vector semantic search. 🧠✨ Using local GGUF models, it performs query expansion and intelligent re-ranking to ensure you find exactly what you are looking for every single time—no cloud required.

In this video, we explore how to:
🏠 Set up a 100% local search index for all your markdown files.
🤖 Leverage hybrid search (Vector + BM25) for high-accuracy results.
🔌 Use the built-in MCP (Model Context Protocol) server to connect your notes to AI agents like Claude.
⚡ Master CLI commands like 'qmd query' and 'qmd embed' to manage your personal knowledge base.

Ready to supercharge your workflow and keep your data private? Let’s dive into the world of local AI search! 💻

Source Attribution:
Information derived from the official QMD GitHub repository: https://github.com/tobi/qmd

#QMD #LocalAI #SemanticSearch #Markdown #CLITools #KnowledgeManagement #PrivacyFirst #AI #SearchEngine #OpenSource #TechTutorial #ClaudeMCP