SiliconANGLE

RAG data preparation startup Vectorize launches with $3.6M in seed funding

Data integration startup Vectorize AI Inc. says its software is ready to play a critical role in the world of artificial intelligence after closing on a $3.6 million seed funding round today. The ...
InfoWorld

MongoDB releases mongot source code to boost RAG and AI workloads

By releasing the code behind its search and vector engine under the SSPL, MongoDB is giving self‑managed users new visibility ...
techtimes

How RAG and Vector Databases Improve LLMs

Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) are two distinct yet complementary AI technologies. Understanding the differences between them is crucial for leveraging their ...
VentureBeat

Vector database company Qdrant wants RAG to be more cost-effective

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More More companies are looking to include retrieval augmented generation (RAG ...
dbta

DataStax Integrates with Microsoft Semantic Kernel to Power RAG App and Agent Development

DataStax, the generative AI data company, is announcing an integration with Microsoft Semantic Kernel—an open-source SDK that simplifies the building of agents with an organization’s existing code.
Morningstar

KIOXIA AiSAQ Technology Integrated into Milvus Vector Database

Kioxia America, Inc. today announced that its AiSAQ™ approximate nearest neighbor search (ANNS) software technology has been integrated into Milvus (starting with version 2.6.4), among the world’s ...
SiliconANGLE

Couchbase’s database gets support for vector search and retrieval-augmented generation

Cloud database-as-a-service provider Couchbase Inc. today added some powerful new capabilities to its platform that should enhance its ability to support more advanced generative artificial ...