Implementing RAG with KaibanJS
Retrieval Augmented Generation (RAG) combines the power of retrieval mechanisms with generative models to enhance the performance of AI agents. This technique can significantly improve the relevance and accuracy of responses by incorporating contextually rich information retrieved from a large corpus.
Setup and Requirements
This guide will outline the steps needed to integrate RAG into your KaibanJS projects. Before proceeding, ensure you have the latest version of KaibanJS and access to a suitable database or knowledge base for retrieval purposes.
Step-by-Step Guide
Coming soon...
Acknowledgments
Thanks to @Valdozzz for suggesting this valuable addition. Your contributions help drive innovation within our community!
Is there something unclear or quirky in the docs? Maybe you have a suggestion or spotted an issue? Help us refine and enhance our documentation by submitting an issue on GitHub. We’re all ears!