The rise of AI-native products is reshaping what people expect from databases. It’s no longer just about processing structured data - users now want databases that can handle both structured data and unstructured data (at least their embeddings), whi...
Introduction MongoDB has solidified its position as a leading modern database, moving far beyond its NoSQL origins to become a comprehensive developer data platform. With each major release, it pushes the boundaries of what's possible for developers....
Introduction: The RAG Hype is Real, But So Are Its Failures Retrieval-Augmented Generation (RAG) has taken the AI world by storm, promising to anchor Large Language Models (LLMs) in factual, up-to-date, and proprietary data. The concept is elegant: r...
Most people think GenAI is just about the models getting smarter. But here's the hidden truth: the real breakthrough isn't in making LLMs more intelligent - it's in making them more knowledgeable about your specific context. And that's where vector s...
In a world flooded with text, images, videos, and user interactions, we’re moving beyond just searching with keywords. Today, many systems — from AI chatbots to recommendation engines — rely on something deeper: searching by meaning. Enter the vector...
In today’s world of AI and machine learning, turning raw text into something computers can truly “understand” is becoming essential — especially when working with large documents like PDFs. If you’ve ever wished you could search your PDFs for ideas a...
As AI systems become more complex, traditional databases struggle to efficiently handle high-dimensional data like embeddings. This is where Vector Databases come in, designed specifically for similarity searches across N-dimensional vectors. But how...
Vectorization is a powerful process that transforms raster images—made of pixels—into crisp, scalable vector graphics composed of paths and curves. Whether you're designing a logo, converting a sketch, or prepping artwork for merchandise, vector conv...
1. Abstract Retrieval-Augmented Generation (RAG) represents a transformative approach in artificial intelligence that combines the power of large language models with the precision of information retrieval systems. This presentation explores how RAG ...
We're excited to announce the release of VectorChord 0.4, a significant update that enhances high-performance vector search within PostgreSQL. We believe this release pushes the boundaries of what's possible for vector search in PostgreSQL, introduci...
