Understanding Query Analysis

Heads up... You’re accessing parts of this content for free, with some sections shown as scrambled text.

Heads up... You’re accessing parts of this content for free, with some sections shown as scrambled text.

Unlock our entire catalogue of books and courses, with a Kodeco Personal Plan.

Unlock now

Understanding Query Analysis

Query Analysis is a set of techniques that helps optimize retriever search queries. Vector stores, by and large, get the fundamentals right with their in-built search implementations. But they are usually insufficient. Their search and re-ranking capabilities are found lacking in various scenarios.

Enhancing RAG Systems

To perfect a RAG app is quite involved. Apart from RAGs having many moving parts, each basic component also has multiple refinements you could apply to it. It’s fair to say that the solutions aren’t finite and probably never will be. What matters most is constant evaluation and polishing until it reaches acceptable levels based on the use case. For generic applications, the basic implementations are good enough. For others, many refinement techniques will be required to make them fit for purpose.

See forum comments
Download course materials from Github
Previous: Assessing a RAG Pipeline Demo Next: Understanding Query Analysis Demo