In this article, author Aaditya Chauhan discusses the limitations of RAG pipelines based purely on vector search and how an ...

RAG is transforming AI apps, and vector databases are the engine behind accurate, real-time responses Choosing the right vector database can make or break performance, scalability, and user experience ...

IBM worked with Nvidia and Samsung to demonstrate a content-aware storage (CAS) system that can hold a 100-billion-vector database on a single server, work targeted at making retrieval-augmented ...

SAN JOSE, Calif.--(BUSINESS WIRE)--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 ...

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 ...

Setting up a memory database integrated with an MCP (Model Context Protocol) server can significantly enhance how you manage and retrieve data. By using OpenAI’s file store and vector database ...

Have you ever searched for something online, only to feel frustrated when the results didn’t quite match what you had in mind? Maybe you were looking for an image similar to one you had, or trying to ...

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 ...