Learn to create an advanced Python AI agent using Retrieval-Augmented Generation (RAG) in this 41-minute tutorial. Explore how to build an AI agent capable of utilizing various tools based on specific tasks. Gain insights into Llama Index, understand the concepts of agents and RAG, and follow along with project demonstrations. Set up the development environment, work with different data sources, and learn to query structured and unstructured data. Discover how to build agent capabilities and implement RAG techniques for enhanced AI functionality. Conclude with next steps for further development and application of your AI agent.
Overview
Syllabus
| Overview
| Project Demos
| Understanding Agents & RAG
| Installation/Setup
| Data Sources
| Querying Pandas Data
| Building Agent Capabilities
| Querying Unstructured Data
| Next Steps
Taught by
Tech With Tim
