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 ...

Vector databases power RAG, semantic search, recommendations, and memory. Learn how indexing, filtering, and hybrid retrieval ...

AI systems are the ultimate amnesiacs. Despite an impressive ability to generate text, code, music, and more, they’re limited by the prompt immediately in front of them. Ask ChatGPT about a recipe it ...

For a long time, vector databases were a bit of a niche product, but because they are uniquely suited to provide context and long-term memory to large language models, everybody in the database space ...

The latest trends in software development from the Computer Weekly Application Developer Network. This week sees the move to general availability for vector search for Amazon MemoryDB. Amazon MemoryDB ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. David Chisnall discusses how the CHERI ...

Pinecone, the vector database company, has announced the launch of Pinecone Serverless, a cheaper, faster and multi-tenant database that helps in building modern, LLM-based applications. Pinecone was ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Google is adding new capabilities to its database and analytics platforms ...

The rapid evolution of semiconductor devices has amplified the demand for advanced automated test equipment (ATE) that can handle increasingly complex test scenarios for logic devices. ATE vector ...

A vector database is a type of database technology that's used to store, manage and search vector embeddings, numerical representations of unstructured data that are also referred to simply as vectors ...