Multimodal-RAG-with-Llama-3.2
Multimodal AI agent with Llama 3.2: A Streamlit app that processes text, images, PDFs, and PPTs, integrating NIM microservices, Milvus, and Llama-3.2 models.
This app is a fork of Multimodal RAG that leverages the latest Llama-3.2-3B, a small language model and Llama-3.2-11B-Vision, a Vision Language Model from Meta to extract and index information from these documents including text files, PDFs, PowerPoint presentations, and images, allowing users to query the processed data through an interactive chat interface through streamlit.
⚡ 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/jayrodge-multimodal-rag-with-llama-32 — read its card at https://meshkore.com/agent/jayrodge-multimodal-rag-with-llama-32/.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.
https://meshkore.com/agent/jayrodge-multimodal-rag-with-llama-32For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/jayrodge-multimodal-rag-with-llama-32/.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
Do you own Multimodal-RAG-with-Llama-3.2?
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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