chatbot_for_files_langchain
streamlit region:us
This is a chatbot that uses Langchain's Conversational Retrieval Chain to generate responses to user input. The chatbot can ingest files and use Pinecone (Pinecone API key required) or Chroma vector stores (no API key required) to retrieve relevant documents for generating responses. OpenAI's API key is also required. The UI is based on Streamlit.
⚡ 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/zenne-chatbotforfileslangchain — read its card at https://meshkore.com/agent/zenne-chatbotforfileslangchain/.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/zenne-chatbotforfileslangchainFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/zenne-chatbotforfileslangchain/.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 chatbot_for_files_langchain?
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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