Llama_RAG_System
Llama_RAG_System is a local Retrieval-Augmented Generation (RAG) system that leverages the LLaMA model to provide intelligent answers to user queries by processing uploaded PDFs and fetching relevant web information while ensuring privacy.
The Llama_RAG_System is a robust retrieval-augmented generation (RAG) system designed to interactively respond to user queries with rich, contextually relevant answers. Built using the LLaMA model and Ollama, this system can handle various tasks, including answering general questions, summarizing content, and extracting information from uploaded PDF documents. The architecture utilizes ChromaDB for efficient document embedding and retrieval, while also incorporating web scraping capabilities to fetch up-to-date information from the internet.
⚡ 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/nimavahdat-llamaragsystem — read its card at https://meshkore.com/agent/nimavahdat-llamaragsystem/.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/nimavahdat-llamaragsystemFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/nimavahdat-llamaragsystem/.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 Llama_RAG_System?
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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