Vector databases store, index, filter, and search embeddings so applications can retrieve items by similarity at operational scale. This guide explains the mechanism, trade-offs, evaluation, and ...

In today’s data-driven world, the exponential growth of unstructured data is a phenomenon that demands our attention. The rise of generative AI and large language models (LLMs) has added even more ...

It's a match made in heaven. The Azure AI extension enables the database to call into various Azure AI services like Azure OpenAI. Combined with pgvector you can go far beyond full text search. Let's ...

Vector databases unlock the insights buried in complex data including documents, videos, images, audio files, workflows, and system-generated alerts. Here’s how. The world of data is rapidly changing ...

Companies across every industry increasingly understand that making data-driven decisions is a necessity to compete now, in the next five years, in the next 20 and beyond. Data growth — unstructured ...

pg_vector is an extension for PostgreSQL that renders it a viable alternative to specialized vector stores used in LLMs. We show you how to use it and report on the latest, faster incarnation, written ...

Generative AI has received a lot of attention already this year in the tech world and beyond. Whether it's ChatGPT’s prose or Stable Diffusion’s art, 2022 provided an insight into the potential for AI ...

This expansion is fueled by the rapid adoption of AI, LLMs, and multimodal applications that require high-performance vector search, scalable indexing, and real-time retrieval. By offering, the ...

A vector database is a type of database technology that's used to store, manage and search vector embeddings, numerical representations of unstructured data that are also referred to simply as vectors ...