September 2024
Intermediate to advanced
298 pages
8h 12m
English
book
Building AI Intensive Python Applications
by Rachelle Palmer, Ben Perlmutter, Ashwin Gangadhar, Nicholas Larew, Sigfrido Narváez, Thomas Rueckstiess, Henry Weller, Richmond Alake, Shubham Ranjan
Content preview from Building AI Intensive Python Applications
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10
Refining the Semantic Data Model to Improve Accuracy
To effectively use vector search for semantic long-term memory in an intelligent application, you must optimize the semantic data model to the application’s needs. As the semantic data model uses vector embedding models and vector search, you must optimize the contents of the embedded data and the way the data is retrieved.
Refining the semantic data model can lead to significant improvements in retrieval accuracy and overall application performance. In retrieval-augmented generation (RAG) applications, an effective semantic data model serves as the foundation for a robust retrieval system, which directly informs the quality of the generated outputs. The rest of the chapter examines different ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.