As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...

Vector databases (DBs), once specialist research instruments, have become widely used infrastructure in just a few years. They power today's semantic search, recommendation engines, anti-fraud ...

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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 ...

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Other database updates include the availability of an Azure Database for PostgreSQL extension for Azure AI and the addition of Copilot capabilities to Azure SQL DB. Microsoft released multiple updates ...

Among the roughly 60 announcements Microsoft Corp. is making at its Build conference today are new artificial intelligence capabilities across its cloud-based database management products. Fabric, the ...

With vector search now available in Enterprise Server and Community Edition, enterprises can streamline AI development and reduce operational overhead by avoiding fragmented stacks and external search ...

With an emphasis on AI-first strategy and improving Google Cloud databases' capability to support GenAI applications, Google announced developments in the integration of generative AI with databases.

Artificial Intelligence (AI) agents based on Retrieval-Augmented Generation (RAG) technology are rapidly proliferating. RAG ...

The dramatic advances in generational AI—chatGPT in particular—have motivated almost all technology companies to find an AI story that can break through the heavily AI-oriented technology news feeds.

Numerous observers have predicted that 2024 will be the year enterprises turn generative AI such as OpenAI's GPT-4 into actual corporate applications. Most likely, such applications will begin with ...