New natural-language query engine combines AI, vector search, and retrieval-augmented generation to deliver accurate, cited answers across ...

Try propositional chunking on your next vector search project. Your users will notice the difference in result quality immediately.

Vector databases unlock the insights buried in complex data including documents, videos, images, audio files, workflows, and system-generated alerts. Here’s how. The world of data is rapidly changing ...

Microsoft’s NLWeb bridges websites and AI agents. Learn how to make your schema work harder — powering smarter discovery and visibility.

Elastic (NYSE: ESTC), the Search AI Company, announced DiskBBQ, a new disk-friendly vector search algorithm in Elasticsearch ...

Cloud database provider MongoDB Inc. today announced a slew of updates to its platform that are designed to help software developers build applications that can harness the power of generative ...

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 ...

Enterprises adopting AI cannot afford to be slowed by database lock-in. As the vector ecosystem evolves, the winners will be ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More More companies are looking to include retrieval augmented generation (RAG ...