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AI & Machine Learning · Foundational

Vector Database

A database optimized for storing embeddings and performing fast similarity search over them.

Definition

Vector databases index high-dimensional vectors with approximate nearest neighbor algorithms and support metadata filtering, hybrid search and scaling. Examples include Pinecone, Milvus, Weaviate, Qdrant, Chroma, pgvector for PostgreSQL, Amazon OpenSearch Service, Amazon S3 Vectors, Azure AI Search and Vertex AI Vector Search.

Exam tip

On AWS, OpenSearch Serverless, Aurora PostgreSQL with pgvector and S3 Vectors are common knowledge-base vector stores.

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