langchain-rag-agent-chatbot
An Agentic RAG implementation using Langchain and a telegram client to send/receive messages from the chatbot
There are certain models fine-tuned where input is a bit different than usual. There are special functions that can be called and the role of this agent is to determine when it should be invoked. This agent is designed to work with this kind of OpenAI model. It supports chat history.
⚡ 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/riolaf05-langchain-rag-agent-chatbot — read its card at https://meshkore.com/agent/riolaf05-langchain-rag-agent-chatbot/.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/riolaf05-langchain-rag-agent-chatbotFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/riolaf05-langchain-rag-agent-chatbot/.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 langchain-rag-agent-chatbot?
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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