✅ Easiest Way to Build AI Agents With RAG & CrewAI Locally

#aiagents #crewai #rag #llama3
This tutorial is the easiest way to build AI agents with crewai and LLAMA3 that use a RAG or Retrieval-Augmented Generation framework for setting up a repeatable workflow for your specific tasks with your own documents, which reduces hallucinations and irrelevant responses and improves the results of the LLMs.

Set up your virtual environment for crewai with this easy tutorial:

Full course on fine-tuning LLMs, hands-on practical tutorials:

GitHub link for the code and process of this video:

Chapters and Key Concepts:
00:00 Intro to RAG
00:29 Fine-tuning LLMs
01:00 In-Context-Learning or ICL
01:32 RAG or Retrieval-Augmented Generation
01:58 RAG paper and method
03:20 Code-along AI agents with CrewAI and RAG system: venv, wget, llama3, subprocess with Popen, agent prompts and tasks, use in e-commerce and business decision-making

[travelingbutterfly]

hi. I dont think the data it produced is correct did u try some method to validate it?

[JavierTorres-stgt]

How to protect a company's information with technology ?

[optiondrone]

Wow CSV file reading agent, this is so cool, does this mean that agent can also be programmed to generate SQL and access data from a database and do additional analysis?