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rag-server
RAG server for quantitative finance research — layout-aware PDF/LaTeX/notebook ingestion, hybrid BM25 + BGE-M3 retrieval with reranking, local LLM synthesis, REST API and MCP server.
2stars
1forks
Python
Quality signals
ActiveNo testsNo CIThin docsNo licenseNew
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest FellowQuant/rag-serverAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
uvx rag-server
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"rag-server": {
"command": "uvx",
"args": [
"rag-server"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
rag-server — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt