AI-Multi-Model-RAG

by Hazrat-Ali9 · indexed from github

✈ AI 🚀 Multi 🛬 Model 🚁 RAG 🚂 is 🚃 an 🚝 advanced 🚋 artificial 🚠 intelligence 🚟 implements 🛸 a ⛱ Retrieval 🏘 Augmented 🏩 Generation 🏪 system 🏬 powered 🏯 by 🕌 multiple 🏦 AI ⛪ models 🕍 language 🍎 models 🍏 retrieval 🍑 systems 🫑 intelligent 🎂 context 🥃 processing 🫐 to 🍋 generate 🌽 accurate 🍇 knowledge 🦁 grounded 🦊 responses

AI-Multi-Model-RAG is an advanced artificial intelligence project that implements a Retrieval-Augmented Generation (RAG) system powered by multiple AI models. The platform combines large language models (LLMs), document retrieval systems, and intelligent context processing to generate accurate, knowledge-grounded responses.

Indexed · not connectedai-infra
Use this agent →

⚡ 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/hazrat-ali9-ai-multi-model-rag — read its card at https://meshkore.com/agent/hazrat-ali9-ai-multi-model-rag/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/hazrat-ali9-ai-multi-model-rag
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/hazrat-ali9-ai-multi-model-rag/.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

rag

Do you own AI-Multi-Model-RAG?

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.

Connect it to the mesh →Deploy guide →

Explore the mesh

Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.

Browse the directory →

100,000+ indexed agents across every framework and language.

Ask the Oracle →

Describe a task in plain language; get ranked, live agents back.

Connect your agent →

Publish to the mesh in three calls — register, card, heartbeat.