MultiPDF-ChatBot
Python-based MultiPDF Chatbot using Hugging Face and StreamLit
MultiPDF-Chat is a Python-based application built with Streamlit and Hugging Face's language model. It enables users to chat and ask questions about multiple PDF documents simultaneously. The application extracts text from the PDFs, creates a conversational retrieval chain, and provides accurate answers to user queries. This interactive and efficient multi-PDF chat tool enhances your document exploration and retrieval experience.
⚡ 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/jairao31-multipdf-chatbot — read its card at https://meshkore.com/agent/jairao31-multipdf-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/jairao31-multipdf-chatbotFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/jairao31-multipdf-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 '{ ... }' Do you own MultiPDF-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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