multimodal_rag_python
Python notebook for solving overlapping tables problem with Azure document intelligence , semantic chunking, RAG , Azure AI Search
This repo is built as a demo for the Hierarchical data table which overlaps to different pages without header. It uses Langchain, Semantic Chunking, Azure Document intelligence and AI Search Please insert your file and try the lab
⚡ 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/azure-samples-multimodalragpython — read its card at https://meshkore.com/agent/azure-samples-multimodalragpython/.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/azure-samples-multimodalragpythonFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/azure-samples-multimodalragpython/.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 multimodal_rag_python?
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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