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A vector index organizes embeddings so that similar entries can be found efficiently through similarity search. It is a central building block of many RAG systems because it enables speed, scalability, and cost control for large numbers of chunks. Vector databases typically add operations, filtering, APIs, and distributed execution around it.
Use this profile to understand the building block briefly, place it in the model, and open related building blocks.
Theoretical construct: explains a term, principle, or mental model.
What you need to understand to reason about a domain.
Where this building block is located in the topic model.
No structure path available.
Explore how this building block connects to concepts, methods, technologies, and tools.
These sources establish the term and its professional meaning.
All direct connections of the current building block in a compact text view.
This classification shows where the building block typically matters, how demanding it is, and what kind of impact it has in the model.
The level within the organization (enterprise, domain, team) at which the AssetBlock is applied.