High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.
How to install qdrant?
aivrar/portable-hermes-agent/qdrant
$npx -y skills add aivrar/portable-hermes-agent --skill qdrantInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/aivrar/portable-hermes-agent" --skill "aivrar/portable-hermes-agent/qdrant"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/aivrar/portable-hermes-agent" that are relevant to the current task. Run `npx skills add "https://github.com/aivrar/portable-hermes-agent"` and select the relevant skills, then follow their instructions.
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