Loading...
An enhancement to the Neo4j graph database providing vector search capabilities through dedicated indexes.
Lantern is a PostgreSQL extension that enables efficient vector search capabilities, allowing users to perform similarity searches directly within their PostgreSQL databases.
MariaDB Vector is an extension or feature of MariaDB, providing capabilities for handling and querying vector data within the MariaDB ecosystem.
Neo4j is a graph database that has added vector search capabilities, providing unique and effective approaches for retrieval augmented generation (RAG) and other AI applications.
HelixDB is a powerful, open-source graph-vector database built in Rust, designed for intelligent data storage for Retrieval-Augmented Generation (RAG) and AI applications. It combines graph database features with vector search, making it directly relevant to AI and machine learning workflows that require vector data management.
An OpenSearch plugin that expands its capabilities with the custom `knn_vector` data type, enabling storage of embeddings and providing methods for k-NN similarity searches, including Approximate k-NN, Script Score k-NN, and Painless extensions.
Neo4j Vector Search enhances the Neo4j graph database by providing vector search capabilities through dedicated indexes. These vector indexes enable similarity searches and complex analytical queries by representing nodes or properties as vectors in a multidimensional space. Originally released as a public beta in Neo4j 5.11, node vector indexes reached general availability in Neo4j 5.13.
LIST<INTEGER | FLOAT> properties on nodes or relationships.