Vector Database
A specialized database optimized for storing and querying high-dimensional vector data (embeddings).
In more detail
Vector databases enable efficient semantic search by storing embeddings and computing similarity. They support fast approximate nearest neighbor (ANN) search. Used for RAG, recommendation systems, and semantic search applications. Examples: Pinecone, Weaviate, Milvus.
Examples
- Similarity search
- Semantic search
- Recommendation systems
- Anomaly detection
- Image search
Related terms
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