DEFINITION

Vector Embeddings

Vector Embeddings for Memory

Definition

A technique for converting text or structured data into high-dimensional numerical vectors, commonly used as a default approach for semantic search and memory retrieval in AI agent systems. Embeddings enable similarity-based lookups but may not be optimal for all memory use cases.

Examples in the Wild

Example 1:semantic-search-in-agent-memory
Example 2:similarity-based-retrieval
Example 3:embedding-based-knowledge-stores