Learn how to use vector databases for AI SEO and enhance your content strategy. Find the closest semantic similarity for your target query with efficient vector embeddings. A vector database is a ...
Oracle Corp.’s flagship database management system is now available as a cloud service. Oracle Database 23ai features vector search and more than 300 additional major features, with many focused on ...
Vector databases don’t just store your data. They find the most meaningful connections within it, driving insights and decisions at scale. A vector database is just like any other database in that it ...
PostgreSQL with the pgvector extension allows tables to be used as storage for vectors, each of which is saved as a row. It also allows any number of metadata columns to be added. In an enterprise ...
Well-funded vector database startup Pinecone Systems Inc. today announced a serverless version of its product aimed at artificial intelligence applications. The company said the serverless ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Today’s complex, unstructured data — text, images, audio and video — are ...
Amazon Web Services is adding vector search and vector embedding capabilities to three more of its database services, including Amazon MemoryDB for Redis, Amazon DocumentDB, and Amazon DynamoDB, the ...
Organizations that are using TimescaleDB to store and query their time-series data may be interested to know that they can use the database to store and query vectors for GenAI applications, too.
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Redis is updating its suite of data platforms with new capabilities ...
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