Custom-Chatbot-for-University
Customizable RAG chatbot made with LangChain, ChromaDB, Streamlit using gpt-3.5-turbo, text-embedding-ada-002 also sporting database integration
A customizable chatbot made with Streamlit, LangChain, and ChromaDB. Adding knowledge is as simple as uploading text files with information. The entirety of the codebase was written on 7th September 2023 at the IEEE CIS AI Hackathon '23 Finale, so please bear with the code quality. Any contributions towards improving code quality are highly appreciated.
⚡ 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/dhivyeshrk-custom-chatbot-for-university — read its card at https://meshkore.com/agent/dhivyeshrk-custom-chatbot-for-university/.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/dhivyeshrk-custom-chatbot-for-universityFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/dhivyeshrk-custom-chatbot-for-university/.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 Custom-Chatbot-for-University?
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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