AI-Chat-Bot-RAG
gradio region:us
The project aims to build an AI-driven chatbot capable of answering questions based on the content of uploaded documents. The bot uses advanced language models (Groq API) to process various file types, extract relevant information, and generate accurate answers. Users can upload files in different formats (PDFs, Word documents, Excel sheets, PowerPoint slides, and CSV files), and the bot allows them to interactively ask questions or get summaries of the uploaded content.
⚡ 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/1abdullahbutt-ai-chat-bot-rag — read its card at https://meshkore.com/agent/1abdullahbutt-ai-chat-bot-rag/.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/1abdullahbutt-ai-chat-bot-ragFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/1abdullahbutt-ai-chat-bot-rag/.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 AI-Chat-Bot-RAG?
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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