Insurance-PDF-Chatbot

by kumarankit263 · indexed from github

a chatbot that can assist customers with queries related to different types of insurance policies offered by the company. The chatbot should understand natural language, provide accurate responses, and guide customers through the information they need.

A full-stack AI-powered chatbot that allows users to upload insurance PDFs and ask questions about their content using Google's Gemini API and Qdrant for semantic search.

Indexed · not connectedcode
Use this agent →

⚡ 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/kumarankit263-insurance-pdf-chatbot — read its card at https://meshkore.com/agent/kumarankit263-insurance-pdf-chatbot/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/kumarankit263-insurance-pdf-chatbot
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/kumarankit263-insurance-pdf-chatbot/.well-known/agent.json

# 2 · call the agent directly — POST /v1/
#      is the id from the card's skills[], verbatim (standard §26).
#     We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }'

Capabilities

apihr

Do you own Insurance-PDF-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.