AI Techniques

Embeddings

Numerical vector representations of data (text, images, etc.) that capture semantic meaning. Similar items have similar embeddings, enabling semantic search and clustering.

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Vector Database
A database optimized for storing and querying high-dimensional vector embeddings via approximate nearest-neighbor search. Common choices include Pinecone, Weaviate, Qdrant, Milvus, and pgvector. Central to most RAG architectures.

Also referenced: Semantic Search, RAG.

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Embeddings is part of the AI Techniques vocabulary used in the Generative AI Maturity Framework. See the full glossary for the complete set of 149 defined terms, or take the free maturity assessment to see where your organisation stands.

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