- Course
- AI
Optimizing Data Retrieval Techniques
Boost the accuracy, speed, and reliability of AI-powered search. This course will teach you how to optimize retrieval pipelines using semantic indexing, query reformulation, and reranking techniques to enhance RAG performance.
What you'll learn
AI-powered search systems often miss relevant documents or return irrelevant results, making it difficult for users to find the right information quickly.
In this course, Optimizing Data Retrieval Techniques, you’ll learn to improve the accuracy, speed, and reliability of retrieval pipelines.
First, you’ll explore semantic indexing and relevance scoring to enhance retrieval accuracy.
Next, you’ll discover query reformulation and parent-document retrieval methods to boost recall.
Finally, you’ll learn how to apply reranking techniques using BERT-based and cross-encoder models to improve precision.
When you’re finished with this course, you’ll have the skills and knowledge of retrieval optimization needed to build faster, more accurate, and reliable RAG systems.
Table of contents
About the author
Dr. Yasir Khan is a global tech consultant and 38Labs founder. He's passionate about digital transformation, data & AI, and regularly shares technology insights on Pluralsight.