DocWhisperer-Qdrant

by Ashish-Abraham · indexed from github

A Retrieval-Augmented Generation (RAG) System for PDF Chat using Qdrant Vector Database.

Imagine unlocking the hidden conversations within your dusty PDFs. DocWhisperer is your digital alchemist, transforming dry documents into vibrant dialogues. Ask anything, and DocWhisperer conjures insightful answers, pulling knowledge from the depths of your files like a magical quill. Powered by the alchemy of Qdrant's vector magic and the nimble chatbot, DocWhisperer makes them sing with meaning and ready to answer your every inquisitory whim. Step into the enchanted library of your PDFs, unleash DocWhisperer, and unlock the secrets whispered within!

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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/ashish-abraham-docwhisperer-qdrant — read its card at https://meshkore.com/agent/ashish-abraham-docwhisperer-qdrant/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/ashish-abraham-docwhisperer-qdrant
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/ashish-abraham-docwhisperer-qdrant/.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

ragembeddingdatallmwhisper

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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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