Lesson 1.1
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.
Taught byPriya RamanLLMs · RAG · Prompt engineering · Evaluation
Overview
An embedding maps text to a point in space where nearby means related. It captures topic and usage, not truth, and definitely not recency.
What 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