RAG-Ai-Agent
AI-powered agent leveraging RAG (Retrieval-Augmented Generation) with tool integration capabilities. Built with langchain, OpenAI, FastAPI, React frontend, it combines document-based knowledge with real-time data access and calculation tools to provide context-aware responses.
RAG AI-Agent is an intelligent question-answering system built on Retrieval-Augmented Generation (RAG) technology, with LangChain and vector databases at its core. The system enables users to interact conversationally with their documents by uploading files (PDFs, TXTs, etc.), which are semantically parsed, embedded, and indexed for natural language queries. When a user asks a question, the system dynamically retrieves the most relevant information from the vector database and leverages advanced language models to generate accurate, contextual responses.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/romanyn36-rag-ai-agent — read its card at https://meshkore.com/agent/romanyn36-rag-ai-agent/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/romanyn36-rag-ai-agentFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/romanyn36-rag-ai-agent/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own RAG-Ai-Agent?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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