Definition
A type of database optimised for storing and querying vector embeddings, which are numerical representations of data (like text or images) that capture semantic meaning and relationships.
Why it matters (in Poovi’s context)
Crucial for efficient similarity search and retrieval in AI applications, particularly for implementing RAG systems and managing memory components within LLM-powered applications.
Key properties or components
- Stores vector embeddings
- Optimised for similarity search
- Captures semantic meaning
Contradictions or debates
None.