IEEE

Bauhaus: Restructuring Vector Database for LLM Retrieval on CXL-Based Tiered Memory

Abstract: Retrieval-augmented generation pipelines store large volumes of embedding vectors in vector databases for semantic search. In Compute Express Link (CXL)-based tiered memory systems, ...
IEEE

Enhancing Vector Data Quality through Negative Learning for Retrieval-augmented Large Models

Abstract: Retrieval-augmented Large Models (RALMs) have emerged as a promising paradigm to enhance large language models (LLMs) by integrating external knowledge. However, the inherent complexity of ...
Salina Journal

Endee.io Open Sources its High-Performance Vector Database for Scalable AI

Endee.io launches Endee, an open source vector database delivering fast, accurate, and cost-efficient AI and semantic search at scale. Endee rethinks vector DBs for high recall, low latency, and low ...
marktechpost

Alibaba Open-Sources Zvec: An Embedded Vector Database Bringing SQLite-like Simplicity and High-Performance On-Device RAG to Edge Applications

Alibaba Tongyi Lab research team released ‘Zvec’, an open source, in-process vector database that targets edge and on-device retrieval workloads. It is positioned as ‘the SQLite of vector databases’ ...
VentureBeat

This tree search framework hits 98.7% on documents where vector search fails

A new open-source framework called PageIndex solves one of the old problems of retrieval-augmented generation (RAG): handling very long documents. The classic RAG workflow (chunk documents, calculate ...
MarketWatch

KIOXIA AiSAQ Technology Integrated into Milvus Vector Database

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