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io.github.HaseebKhalid1507/velocirag

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Publisher-provided description

Lightning-fast RAG for AI agents. 4-layer fusion, ONNX Runtime, sub-200ms search.

Summary by lookupd

Lets an agent index local documents and run fast hybrid retrieval over them for retrieval-augmented generation, using ONNX embeddings.

Install

Claude Code, pypi package (stdio)

claude mcp add velocirag -- uvx velocirag

Codex, pypi package (stdio)

codex mcp add velocirag -- uvx velocirag

Cursor, pypi package (stdio) → .cursor/mcp.json

{
  "mcpServers": {
    "velocirag": {
      "command": "uvx",
      "args": [
        "velocirag"
      ]
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Details

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