Infrastructure
Vector Database
A vector database is a storage system optimized for indexing and querying high-dimensional embedding vectors. It uses approximate nearest-neighbor algorithms such as HNSW or IVF to return the most similar vectors to a query in sublinear time. Common implementations include Pinecone, Weaviate, Milvus, Qdrant, and pgvector extensions for PostgreSQL.
Definition
A vector database is a storage system optimized for indexing and querying high-dimensional embedding vectors. It uses approximate nearest-neighbor algorithms such as HNSW or IVF to return the most similar vectors to a query in sublinear time. Common implementations include Pinecone, Weaviate, Milvus, Qdrant, and pgvector extensions for PostgreSQL.
Examples
- Pinecone index storing 50 million product embeddings for an e-commerce search bar.
- pgvector table holding article embeddings to power a news recommendation feed.
- Qdrant cluster serving similarity lookups for a chatbot's document retrieval step.
Related terms
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Frequently asked
- What is Vector Database?
- A vector database is a storage system optimized for indexing and querying high-dimensional embedding vectors. It uses approximate nearest-neighbor algorithms such as HNSW or IVF to return the most similar vectors to a query in sublinear time. Common implementations include Pinecone, Weaviate, Milvus, Qdrant, and pgvector extensions for PostgreSQL.
- How is Vector Database used in practice?
- Vector Database is commonly used in scenarios such as: Pinecone index storing 50 million product embeddings for an e-commerce search bar.; pgvector table holding article embeddings to power a news recommendation feed.; Qdrant cluster serving similarity lookups for a chatbot's document retrieval step..
- How does yno.ai support Vector Database?
- yno.ai's tooling layer makes Vector Database available across all supported models without per-provider boilerplate.
- What other concepts are related to Vector Database?
- Vector Database relates to Embedding, Retrieval-Augmented Generation, Inference. Each links to its own glossary page below.