crewai knowledge source

Описание: Unlock the full potential of your AI agents by mastering CrewAI Knowledge Sources! In this in-depth tutorial, we go beyond basic prompting to explore how you can feed your agents custom data—ranging from PDFs and text files to databases and websites—using the native Knowledge Source framework. You’ll learn exactly how to ground your agents in real-world facts, reducing hallucinations and making your multi-agent systems significantly more intelligent and context-aware.

We transition quickly from theory to practice with a hands-on coding demonstration. I’ll walk you through a practical example where we build a custom knowledge base and attach it to a specific agent. You will see how the agent intelligently queries this data to provide precise, documented answers. Whether you are building a research assistant, a customer support bot, or a complex data analyst, understanding how to manage these information streams is the key to professional-grade AI development.

By the end of this video, you will have a clear roadmap for implementing RAG (Retrieval-Augmented Generation) directly within your CrewAI workflows. We cover everything from the initial setup and importing the necessary classes to fine-tuning how your agents interact with their new "brain." Don't forget to check the resources below for the source code and documentation used in today’s session!

Github:
https://github.com/nithishkumar86/Cre...