Overview RAG is transforming AI apps, and vector databases are the engine behind accurate, real-time responsesChoosing the ...

Microsoft's Data API Builder is designed to help developers expose database objects through REST and GraphQL without building a full data access layer from scratch. In this Q&A, Steve Jones previews ...

Edge, the leading open-source enterprise Postgres company, today announced the AI DBA Workbench for Postgres, an AI-powered ...

AI can deliver 5x--12x faster vector indexing and up to 57% lower token usage, as the company proves that the most effective path to AI efficiency runs through the data layer, not the GPU. WILMINGTON, ...

Enterprise data teams moving agentic AI into production are hitting a consistent failure point at the data tier. Agents built across a vector store, a relational database, a graph store and a ...

Oracle announced a suite of agentic AI capabilities integrated directly into Oracle AI Database, enabling AI agents to securely access enterprise data where it already exists, rather than requiring ...

This project integrates Langchain with FastAPI in an Asynchronous, Scalable manner, providing a framework for document indexing and retrieval, using PostgreSQL/pgvector. Files are organized into ...

Nvidia "GeForce Evangelist" Jacob Freeman spoke with YouTuber Daniel Owen late last week about the company's new DLSS 5 technology. He explained a little more about how the tech works, its limitations ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min Vector Systems is betting big on ...

Kioxia America, Inc. today announced the successful demonstration of high-dimensional vector search scaling to 4.8 billion vectors on a single server using its open-source KIOXIA AiSAQ™ approximate ...

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Information retrieval systems are designed to satisfy a user. To make a user happy with the quality of their recall. It’s important we understand that. Every system and its inputs and outputs are ...