picky-rabbit
LLM RAG Project for Food Content Information Chatbot
Picky Rabbit is an OpenAI LLM-powered chatbot that provides information about the contents of packaged food products. It helps users make informed choices by offering details on ingredients, nutritional values, allergens, and more. In the second version, the chatbot incorporates Similarity Search with LLMs, enabling it to respond by considering the food data stored in the compact vector database FAISS.
⚡ 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/emreds-picky-rabbit — read its card at https://meshkore.com/agent/emreds-picky-rabbit/.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/emreds-picky-rabbitFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/emreds-picky-rabbit/.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 picky-rabbit?
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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