RAG-Langchain-LLM-ChatBot
The RAG LLM ChatBot leverages Langchain to provide a robust and flexible framework for building intelligent chatbots. It combines the power of retrieval-augmented generation (RAG) with large language models (LLMs) to deliver precise and context-aware responses.
By integrating retrieval and generation, RAG enhances the language model's ability to provide accurate and context-aware answers, particularly for complex or specific queries that require detailed information. This approach leverages the strengths of both retrieval systems (accuracy and relevance) and generation models (fluency and contextual understanding).
⚡ 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/elbic-rag-langchain-llm-chatbot — read its card at https://meshkore.com/agent/elbic-rag-langchain-llm-chatbot/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/elbic-rag-langchain-llm-chatbotFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/elbic-rag-langchain-llm-chatbot/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own RAG-Langchain-LLM-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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