Concept
How do embeddings connect knowledge?
2. Understanding Databases 2.1 Storing Structured Information 2.1. / How can embeddings connect knowledge?
"An embedding represents semantic meaning as a numerical vector. Software can compare vectors to estimate which pieces of information are closest in meaning. This makes it possible to discover related knowledge even when different words are used to describe similar ideas."
Related Ideas
- What makes ideas related?2. Understanding Databases 2.1 Storing Structured Information 2.1. · What are related ideas?
- How does preserving surrounding structure make an idea more meaningful?2. Understanding Databases 2.1 Storing Structured Information 2.1. · How does hierarchy preserve context?
- How does a flowchart represent knowledge?2. Understanding Databases 2.1 Storing Structured Information 2.1. · Why are flowcharts useful for knowledge?
- Why should individual ideas be separated?2. Understanding Databases 2.1 Storing Structured Information 2.1. · Why should individual ideas be separated?
- What is a knowledge hierarchy?2. Understanding Databases 2.1 Storing Structured Information 2.1. · What is a knowledge hierarchy?
- What is a database relationship?2. Understanding Databases 2.1 Storing Structured Information 2.1. · What is a database relationship?
- What is a foreign key?2. Understanding Databases 2.1 Storing Structured Information 2.1. · What is a foreign key?