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multi-agent-hybrid-rag
🧠 Multi-Agent Hybrid RAG — LangGraph + LangSmith + MCP + Qdrant + Gemini + Tavily. Dense+Sparse retrieval, cross-encoder reranking, self-critiquing agents. Free deployment on Streamlit Cloud
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Python
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Install
Universal installANY TOOL
$ npx skillcity@latest avinash1041/multi-agent-hybrid-ragAuto-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).
Prefer to set it up by hand? Clone the repository:
git clone https://github.com/avinash1041/multi-agent-hybrid-rag.git
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Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
multi-agent-hybrid-rag — 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