Vector databases are a type of database that use vector-based data structures, rather than the traditional relational models, to store information. They are used in artificial intelligence (AI) applications such as machine learning, natural language processing and image recognition. Vector databases support fast and efficient data storage and retrieval processes, making them an ideal choice for AI use cases. They also enable the integration of structured and unstructured datasets into a single system, offering enhanced scalability for complex projects. Compare and read user reviews of the best On-Premise Vector Databases currently available using the table below. This list is updated regularly.
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Vespa.ai
CrateDB
pgvector
Chroma
Meta
Semantee.AI
Featureform