local-agentic-rag-gemma3
A local agent RAG implementation using Gemma3 via Ollama
This project implements a Retrieval-Augmented Generation (RAG) system using LangGraph for workflow orchestration and LlamaIndex for indexing and retrieval, powered by locally running language models via Ollama. It ingests data from PDF documents and answers questions based on their 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/kelkalot-local-agentic-rag-gemma3 — read its card at https://meshkore.com/agent/kelkalot-local-agentic-rag-gemma3/.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/kelkalot-local-agentic-rag-gemma3For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/kelkalot-local-agentic-rag-gemma3/.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 local-agentic-rag-gemma3?
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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