Part 4: From RAG to Agents: When AI Starts Doing

1. 1Explore RAG (Retrieval-Augmented Generation) technology to understand its limitations
2. 2Design an AI agent that can take action based on user input or RAG output
3. 3Configure the agent to interact with external systems or tools to perform tasks
4. 4Test and refine the agent's ability to execute actions accurately and efficiently
5. 5Apply the agent to real-world scenarios, such as automating customer support or data processing

Developers, product managers, and AI engineers can benefit from understanding how AI agents can be used to automate tasks and improve workflows

💡 AI agents can be designed to take action beyond just providing information, enabling new levels of automation and productivity

💡 AI agents can do more than just answer questions - they can take action! #AI #RAG #Automation