When Pinecone announced a vector database at the beginning of last year, it was building something that was specifically designed for machine learning and aimed at data scientists. The idea was that ...

The semantic search capabilities added to the database offering include a new vector data type, vector indexes, and vector search SQL operators. Oracle is planning to add vector search capabilities to ...

When Aquant Inc. was looking to build its platform — an artificial intelligence service that supports field technicians and agents teams with an AI-powered copilot to provide personalized ...

The emergence of vector databases and vector search for handling massive quantities of complex data have radically transformed the way AI is implemented and managed. As a specialized approach for ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

As we have noted before, vector databases aren’t new even though people talk about them that way, and in fact can trace their origins back a few decades. Exactly when depends on who you ask, but their ...

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 ...

As the saying goes, context is everything – and this is certainly the case with AI. To be useful, AI systems need to be able to understand nuance and deliver accurate, relevant results. Our ability to ...

"Microsoft (US), Elastic (US), MongoDB (US), Google (US), AWS (US), Redis (US), Alibaba Cloud(US), DataStax (US), SingleStore (US), Pinecone (US), Zilliz (US), KX (US ...