Sanity Context and content APIs (opens in a new tab)
The official reference for the tools used in this lesson.
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What an embedding actually encodes
An embedding maps text to a point in space where nearby means related. It captures topic and usage, not truth, and definitely not recency.
Lesson 1.18m 38sAdvanced9.1k students
Lesson length
8:38What this lesson covers
- Read an embedding as a position in semantic space
- Know what embeddings fail to capture
- Choose an embedding model for your content
This lesson sits in Embeddings and Vector Search, part of Retrieval-Augmented Generation from Scratch. It assumes what came before it and leads directly into the next lesson in the module.
In this lesson you will
- Read an embedding as a position in semantic space
- Know what embeddings fail to capture
- Choose an embedding model for your content
Resources
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