Velocirag
Lightning-fast RAG for AI agents. 4-layer fusion, ONNX Runtime, sub-200ms search.
What is Velocirag?
Velocirag is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to lightning-fast rag for ai agents. 4-layer fusion, onnx runtime, sub-200ms search.
Lightning-fast RAG for AI agents. 4-layer fusion, ONNX Runtime, sub-200ms search.
This server falls under the Data Science & ML and Search & Data Extraction categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Lightning-fast RAG for AI agents. 4-layer fusion, ONNX Runti
Use Cases
Maintainer
Works with
Installation
PIP
pip install velociragManual Installation
pip install velociragConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Velocirag
What is Velocirag?
Velocirag is a Model Context Protocol (MCP) server that lightning-fast rag for ai agents. 4-layer fusion, onnx runtime, sub-200ms search. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Velocirag?
Install via pip with: pip install velocirag. Then configure your AI client to connect to this MCP server.
Which AI clients work with Velocirag?
Velocirag works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Velocirag free to use?
Yes, Velocirag is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up Velocirag in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use Velocirag?
Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.