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DuckDB
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An in-memory, open-source, and free analytical database that speaks SQL, heavily based on vectorization. It can store and process vector embeddings using Array and List data types to enable vector search, bridging the gap between data engineering and AI workflows with fast response times.

Azure Cosmos DB Vector Indexing

Native vector indexing capability in Azure Cosmos DB that supports flat, quantizedFlat, and diskANN index types for efficient vector similarity search using the VectorDistance function. It enables low-latency, high-throughput, and cost-efficient vector search directly in Cosmos DB collections, with options for brute-force exact search (flat), compressed brute-force search (quantizedFlat), and approximate nearest neighbor search (diskANN).

OpenSearch Vector Search

OpenSearch Vector Search is the vector similarity search and AI search capability within the OpenSearch engine, supporting vector indices, ingestion of embedding data, and search methods including raw vector search, semantic search, hybrid search, multimodal search, and neural sparse search. It enables building RAG and conversational search applications using either user-provided embeddings or embeddings generated automatically by OpenSearch.

Couchbase

A database platform that includes vector support, aiming to enhance developer productivity with AI tools like Capella IQ.

SurrealDB

A multi-model database that supports various data types and query languages, including capabilities for handling vector data.

SingleStoreDB (formerly MemSQL)

SingleStoreDB is an enterprise database that has supported vectors since 2017, in addition to exact keyword match, and recently announced support for additional vector indexes.

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