chatgpt-pgvector
ChatGTP (gpt3.5-turbo) starter app
ChatGPT is great for casual, general-purpose question-answers but falls short when domain-specific knowledge is needed. Further, it makes up answers to fill its knowledge gaps and never cites its sources, so it can't really be trusted. This starter app uses embeddings coupled with vector search to solve this, or more specifically, to show how OpenAI's chat completions API can be used to create conversational interfaces to domain-specific knowledge.
⚡ 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/gannonh-chatgpt-pgvector — read its card at https://meshkore.com/agent/gannonh-chatgpt-pgvector/.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/gannonh-chatgpt-pgvectorFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/gannonh-chatgpt-pgvector/.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 chatgpt-pgvector?
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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