3
Building Index-Based RAG with LlamaIndex, Deep Lake, and OpenAI
Indexes increase precision and speed performances, but they offer more than that. Indexes transform retrieval-augmented generative AI by adding a layer of transparency. With an index, the source of a response generated by a RAG model is fully traceable, offering visibility into the precise location and detailed content of the data used. This improvement not only mitigates issues like bias and hallucinations but also addresses concerns around copyright and data integrity.
In this chapter, we’ll explore how indexed data allows for greater control over generative AI applications. If the output is unsatisfactory, it’s no longer a mystery why, since the index allows us to identify ...
Get RAG-Driven Generative AI now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
