Vector Database

turbovec brings Google Research's TurboQuant algorithm to vector search, offering 16x compression and zero codebook training for RAG pipelines.

Not all database platforms are built for the same job.Not all database platforms are built for the same job. Here is how Upstash, Supabase, and Neon actually differ — and which one fits your vibe coding workflow in 2026.

Vector databases are now core retrieval infrastructure for RAG and agentic AI. This guide compares nine production options on architecture, pricing, and scale.

In this tutorial, we build an elastic vector database simulator that mirrors how modern RAG systems shard embeddings across distributed storage nodes. We implement...

Alibaba Tongyi Lab research team released 'Zvec', an open source, in-process vector database that targets edge and on-device retrieval workloads. It is positioned as...

AI applications rarely deal with one clean table. They mix user profiles, chat logs, JSON metadata, embeddings, and sometimes spatial data. Most teams answer...

In this tutorial, we walk you through building an advanced AI Agent that not only chats but also remembers. We start from scratch and...

In today's data-driven world, databases form the backbone of modern applications—from mobile apps to enterprise systems. Understanding the different types of databases and their applications...

In this tutorial, we’ll build a powerful, PDF-based question-answering chatbot tailored for medical or health-related content. We’ll leveRAGe the open-source BioMistral LLM and LangChain’s...

Alex Garcia has released a major update to sqlite-vec, an extension for SQLite that enables vector search. The latest version, 0.1.6, introduces several new...

Data visualization is a powerful technique that transforms complex data into easily understandable visual representations. Let us explore how data visualization can help with...

Many modern applications, such as recommendation systems, image and video search, and natural language processing, rely on vector representations to capture semantic similarity or...

Alex Garcia announced the much-anticipated release of sqlite-vec v0.1.0. This new SQLite extension, written entirely in C, introduces a powerful vector search capability to...

Qdrant, a leading provider of vector search technology, has introduced BM42, a new algorithm designed to revolutionize hybrid search. For the past four decades,...

In the data management and retrieval landscape, vector databases have emerged as a revolutionary force, transforming how businesses and tech enthusiasts harness the power...

Artificial Intelligence has witnessed a revolution, largely due to advancements in deep learning. This shift is driven by neural networks that learn through self-supervision,...

The Billion-Scale Approximate Nearest Neighbor Search Challenge, part of the NeurIPS competition track, aims to advance research in large-scale ANNS (Approximate Nearest Neighbor Search).  BigANN...

The challenge of efficiently searching and retrieving information in digital data has become more pronounced. Traditional search methods need help with vast amounts of...

Vector databases, rooted in 1960s information retrieval concepts, have evolved to streamline complex data management. Initially developed for the vector space model, they now...

The complexity of interconnected data is often difficult for developers. There are challenges like making sense of relationships in data or dealing with intricate...