Retrieval-Augmented Generation from Scratch
LESSON 1.2

Vector databases and indexes

Learn key techniques and workflows in Retrieval-Augmented Generation from Scratch.

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Overview

Exact nearest-neighbour search does not scale, so vector indexes trade a little recall for a lot of speed. Knowing the trade-off keeps you out of trouble.

In this lesson you will:

  • Understand approximate nearest neighbour search
  • Trade recall against latency deliberately
  • Store metadata alongside vectors for filtering

Pro Tip

Use caching and revalidation wisely to ensure your app stays fast and data remains fresh without unnecessary requests.

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