Artificial Intelligence
Embeddings
Also known as: Retrieval-Augmented Generation
Definition
Embeddings are numerical representations of glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term, such as text or images, that capture meaning and relationships.
In practice
Used in glossarySearchSearch is the functionality that allows users to find content or information by entering queries. It relies on indexing, metadata, and relevance algorithms to return useful results.Open glossary term, recommendation glossarySystemA system is a collection of interconnected components that work together to achieve a specific function or outcome.Open glossary term, and similarity matching.
The reality
Embeddings simplify complex glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term but can lose nuance or glossaryContextThe surrounding conditions that shape behaviour and decisions.Open glossary term.
Also known as
Retrieval-Augmented Generation
Plain English
Turning glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term into numbers that capture meaning.
FAQ
Common questions
A few practical answers to the questions that usually come up around this term.
What are embeddings?
They are numerical representations of glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term that capture meaning.
Why are embeddings important?
They enable glossarySystemA system is a collection of interconnected components that work together to achieve a specific function or outcome.Open glossary term to compare and understand glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term.
Where are embeddings used?
In glossarySearchSearch is the functionality that allows users to find content or information by entering queries. It relies on indexing, metadata, and relevance algorithms to return useful results.Open glossary term, recommendations, and AI glossaryModelA model is a system or representation used to process data and generate outputs, often trained to perform specific tasks.Open glossary term.
Do embeddings capture full meaning?
Not always, some nuance can be lost.
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