OpenViking is an open-source Context Database for AI Agents from Volcengine. The project is built around a simple architectural concept: […]
Category: Databases
Alibaba Open-Sources Zvec: An Embedded Vector Database Bringing SQLite-like Simplicity and High-Performance On-Device RAG to Edge Applications
Alibaba Tongyi Lab research team released ‘Zvec’, an open source, in-process vector database that targets edge and on-device retrieval workloads. […]
A Coding, Data-Driven Guide to Measuring, Visualizing, and Enforcing Cognitive Complexity in Python Projects Using complexipy
In this tutorial, we build an end-to-end cognitive complexity analysis workflow using complexipy. We start by measuring complexity directly from […]
How to Build Production-Grade Data Validation Pipelines Using Pandera, Typed Schemas, and Composable DataFrame Contracts
Schemas, and Composable DataFrame ContractsIn this tutorial, we demonstrate how to build robust, production-grade data validation pipelines using Pandera with […]
How to Build Portable, In-Database Feature Engineering Pipelines with Ibis Using Lazy Python APIs and DuckDB Execution
In this tutorial, we demonstrate how we use Ibis to build a portable, in-database feature engineering pipeline that looks and […]
OceanBase Releases seekdb: An Open Source AI Native Hybrid Search Database for Multi-model RAG and AI Agents
AI applications rarely deal with one clean table. They mix user profiles, chat logs, JSON metadata, embeddings, and sometimes spatial […]
How to Build an Advanced AI Agent with Summarized Short-Term and Vector-Based Long-Term Memory
In this tutorial, we walk you through building an advanced AI Agent that not only chats but also remembers. We […]
What is a Database? Modern Database Types, Examples, and Applications (2025)
In today’s data-driven world, databases form the backbone of modern applications—from mobile apps to enterprise systems. Understanding the different types of […]
Google AI Proposes Novel Machine Learning Algorithms for Differentially Private Partition Selection
Differential privacy (DP) stands as the gold standard for protecting user information in large-scale machine learning and data analytics. A […]
Huawei CloudMatrix: A Peer-to-Peer AI Datacenter Architecture for Scalable and Efficient LLM Serving
LLMs have rapidly advanced with soaring parameter counts, widespread use of mixture-of-experts (MoE) designs, and massive context lengths. Models like […]