Definition
A type of database optimized for storing and querying high-dimensional vectors, which are numerical representations of data (like text embeddings). They are fundamental for applications like semantic search and RAG (Retrieval-Augmented Generation) systems.
Why it matters (in Poovi’s context)
Enables AI agents to efficiently search and retrieve information from large datasets, such as YouTube transcripts, by understanding semantic meaning rather than just keywords.
Key properties or components
- Stores vector embeddings
- Enables semantic search
- Supports RAG
Contradictions or debates
None.