forespørselvektorer
Forespørselvektorer, sometimes translated as query vectors or request vectors, are a fundamental concept in the field of information retrieval and natural language processing, particularly in the context of vector databases and semantic search. They represent a user's query or a piece of text in a numerical format, allowing for mathematical comparison with other vector representations. This vector representation captures the semantic meaning of the query rather than just its literal keywords.
To generate a forespørselvektor, an embedding model, often a deep learning model like a transformer, is used.
When a forespørselvektor is created, it can be used to query a collection of document vectors stored