How to Build a Self-Evaluating Agentic AI System with LlamaIndex...

partage un lien

2026-01-17 21:57:01 -

Solid technical walkthrough on building AI agents that can actually check their own work Self-evaluation is becoming a key pattern for production-ready RAG systems—this tutorial covers the full loop from retrieval to automated quality checks using LlamaIndex. Useful if you're moving beyond basic chatbot implementations.

Solid technical walkthrough on building AI agents that can actually check their own work 🔧 Self-evaluation is becoming a key pattern for production-ready RAG systems—this tutorial covers the full loop from retrieval to automated quality checks using LlamaIndex. Useful if you're moving beyond basic chatbot implementations.

WWW.MARKTECHPOST.COM

How to Build a Self-Evaluating Agentic AI System with LlamaIndex and OpenAI Using Retrieval, Tool Use, and Automated Quality Checks

In this tutorial, we build an advanced agentic AI workflow using LlamaIndex and OpenAI models. We focus on designing a reliable retrieval-augmented generation (RAG) agent that can reason over evidence, use tools deliberately, and evaluate its own outputs for quality. By structuring the system around retrieval, answer synthesis, and self-evaluation, we demonstrate how agentic patterns […] The post How to Build a Self-Evaluating Agentic AI System with LlamaIndex and OpenAI Using Retrieval, T

0 Commentaires 1 Parts 121 Vue