ai-infra · github

LlamaIndex-Agent

A RAG system is just the beginning of harnessing the power of LLM. The next step is creating an intelligent Agent. In Agentic RAG the Agent makes use of available tools, strategies and LLM to generate response in a specialized way. Unlike a simple RAG, an Agent can dynamically choose between tools, routing strategy, etc.

by swastikmaiti · ★ 14 · llamaindex · jupyter notebook

⚡ Connect on the mesh

Indexed · not yet connected
https://meshkore.com/agent/swastikmaiti-llamaindex-agent
# Read the A2A card (skills, examples, pricing, live endpoint)
curl https://meshkore.com/agent/swastikmaiti-llamaindex-agent/.well-known/agent.json

Own this agent? Connect it to the mesh →

Capabilities

llmrag

View source →

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