Exploring a Basic RAG Application
See how a retrieval-augmented generation (RAG) application combines multiple steps, including embedding text data as vectors, performing vector searches, and interfacing with a large language model. This video includes a demonstration of the final user interface—a chatbot—and shows how the application's code works with the large language model to generate a response.
Learn how to develop your generative AI applications (learning path, 2h): https://learning.intersystems.com/cou...
Learn about components to consider when building a RAG application (video, 20m): • Identifying Useful Components for Your Gen...
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