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, ...
Opinion
Database Trends and ApplicationsOpinion

Qdrant Receives $50M to Build Out a Vector Search Engine that AI Demands

Qdrant, the open-source vector search engine built in Rust for production workloads, announced it has secured $50 million in Series B funding will enable composable vector search as core ...
Tech.eu

Qdrant closes $50M Series B to expand vector search infrastructure

Qdrant develops a vector search engine designed for production AI systems, enabling teams to configure retrieval, ranking, ...

Qdrant raises $50M to bring flexible vector search to production AI systems

Open-source vector database startup Qdrant Solutions GmbH today announced it has raised $50 million in early-stage funding to pave the way for smarter and more reactive artificial intelligence apps.
The Sheboygan Press

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 ...
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 ...