I want to use vector search without setting up an external server. There are surprisingly many requirements like that. When you don't want to bring in Docker at the PoC stage, want to embed search ...

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 ...

OpenKIWI sits in the same automation space as other tools like Openclaw, but differentiates itself with a security-first design and a streamlined onboarding experience that gets you started in minutes ...

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.

Your browser does not support the audio element. In this blog we will walk through a comprehensive example of indexing research papers with extracting different ...