An international group of researchers says that biodiversity conservation and scientific research are not benefiting from the ...

A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.

Retrieval-augmented generation breaks at scale because organizations treat it like an LLM feature rather than a platform ...

Tiered multitenancy allows users to combine small and large tenants in a single collection and promote growing tenants to dedicated shards. Qdrant has released Qdrant 1.16, an update of the Qdrant ...

VittoriaDB is a high-performance, embedded vector database designed for local AI development and production deployments. Built with simplicity and performance in mind, it provides a zero-configuration ...

DeepWiki-Open currently persists embeddings and indices locally via adalflow’s LocalDB (for example, in ~/.adalflow/databases when running with Docker) and, in some cases, writes embedding caches to ...

Abstract: We aim for an open-vocabulary sound event localization and detection (SELD) system that detects and localizes sound events in any category described by prompt texts. An open-vocabulary SELD ...

Embedding-based search outperforms traditional keyword-based methods across various domains by capturing semantic similarity using dense vector representations and approximate nearest neighbor (ANN) ...

Jean Joseph, a data & AI engineer with deep expertise in database development, will explain how to build AI-powered applications with Azure Database for PosgreSQL at at upcoming developer conference.

Qdrant, the leading provider of high-performance, open source vector search, is debuting Qdrant Cloud Inference, a new solution for generating text and image embeddings directly within managed Qdrant ...