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Agentic-AI-assistant-with-RAG
Agentic AI assistant that combines real-time weather, web research with RAG, and Neo4j graph storage into a single chat-based interface using MCP, FastAPI, Streamlit, and Docker.
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Python
agentic-aiai-assistantdockerfastapifastmcpfirecrawlmodel-context-protocolneo4jopenrouter-apiopenweathermappythonragie
Quality signals
StaleNo testsNo CIThin docsNo licenseNew
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest bangaru-vignesh/Agentic-AI-assistant-with-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).
Or install manually
uvx agentic-ai-assistant-with-rag
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"agentic-ai-assistant-with-rag": {
"command": "uvx",
"args": [
"agentic-ai-assistant-with-rag"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
agentic-ai-assistant-with-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