Skills encode deep Qdrant knowledge so coding agents can make the engineering decisions that determine whether vector search works well: quantization, sharding, tenant isolation, hybrid search, model ...

🚀 Production-Ready Enhancement of the original mcp-server-qdrant with GPU acceleration, multi-vector support, and enterprise-grade deployment infrastructure. Enhanced Model Context Protocol server ...

The AI Genesis hackathon successfully brought together a global community of developers, engineers, designers, and innovators to push the boundaries of Artificial Intelligence. Positioned as the ...

Artificial intelligence and related technologies are evolving rapidly, but until recently, Java developers had few options for integrating AI capabilities directly into Spring-based applications.

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 ...

The rapid evolution of large language models is transforming industries, catalyzing advances in content generation, search, customer service, data analysis, and beyond. Yet, the breathtaking ...

Retrieval-Augmented Generation (RAG) represents an advanced AI system that enhances Large Language Models (LLMs) through real-time knowledge integration from external sources [1]. The technique ...

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.