LESSON 3.1

Hybrid keyword and vector search

06:47·6,300 learners

Priya Raman

In this lesson you will

Combine lexical and semantic result sets
Fuse rankings rather than concatenating them
Fall back to keyword search when embeddings are unavailable

Vector search misses exact identifiers; keyword search misses paraphrase. Running both and fusing the rankings covers each one’s blind spot.

What this lesson covers

Combine lexical and semantic result sets
Fuse rankings rather than concatenating them
Fall back to keyword search when embeddings are unavailable

This lesson sits in Retrieval Quality, part of Retrieval-Augmented Generation from Scratch. It assumes what came before it and leads directly into the next lesson in the module.

PRO TIP

If embeddings are switched off in your environment, wildcarded keyword matching is the fallback that still works.

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3.2 · Reranking retrieved candidates

05:15

Retrieval-Augmented Generation from Scratch

50%

3.1 Hybrid keyword and vector search06:47 3.2 Reranking retrieved candidates05:15 3.3 Evaluating retrieval12:19

Every lesson, searchable to the second.

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