RayCodes_PixelRAG
Visual RAG pipeline searching 8.28M Wikipedia articles as screenshot tiles, matching visual layouts, and querying local Ollama LLM.
PixelRAG is a lightweight, zero-heavy-GPU Visual Retrieval-Augmented Generation (RAG) pipeline. While traditional RAG extracts plain text and loses tables, formatting, and structural context, PixelRAG renders documents into visual page tiles, retrieves the most relevant visual tile, and answers queries directly from the visual content.
⚡ 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/47thtechcorner-raycodespixelrag — read its card at https://meshkore.com/agent/47thtechcorner-raycodespixelrag/.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/47thtechcorner-raycodespixelragFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/47thtechcorner-raycodespixelrag/.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 RayCodes_PixelRAG?
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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