On January 31, the 2026 OceanBase Community Carnival was held in Shanghai, gathering over 260 developers. Through keynotes, panel discussions, AI Coding challenges, and a community open mic, attendees discussed building the AI data foundation — and a 13-year-old took second place in the AI Coding "Hardest PR Award."
This article analyzes RAG's architectural evolution from Naive and Advanced to Modular RAG and its production pain points, and introduces PowerRAG — an open-source product deeply optimized on top of RAGFlow with OceanBase as an integrated foundation — covering its three core modules of document parsing, hybrid retrieval, and effectiveness evaluation, along with typical use cases.
This article dissects the new database needs and pain points developers face in the AI era, and introduces OceanBase seekdb — a lightweight, multimodal, AI-native database with a unified interface, multimodal storage, hybrid retrieval, and built-in AI functions. It demonstrates building a RAG app in three steps and the elastic evolution path from embedded to distributed deployment.
A look at how to do Vibe Coding with the token-free Google AI Studio: through just four natural-language exchanges, we build a zero-code AI app that turns a rough sketch into a polished image in a chosen style, with one-click publishing and GitHub upload — an easy fix for the cover-image headache of running a WeChat blog.
This article explains how to install and configure the seekdb MCP Server, covering both embedded and client/server deployment modes and the Stdio and SSE connection methods. Through a hands-on case of building a personal note knowledge base, it demonstrates how to use natural language to manage vector collections, perform semantic search, run hybrid search, and use AI memory.
The Baofu Payment data team shares its complete practice of replacing HBase with OceanBase's OBKV-HBase — from architectural pain points and selection considerations, to a five-step smooth migration, data verification, and stress-test tuning — ultimately achieving 420,000 QPS at 1ms latency and building a unified TP+AP+KV+AI data foundation.
Facing tens of millions of members, billions of transactions, and multidimensional behavioral data, the CRM membership system of Chongqing Pharmaceutical Group was overwhelmed by its traditional database. After comparing three domestic distributed databases, it chose OceanBase — achieving a 25.7x boost in complex-query efficiency, 60% storage savings, and support for real-time, precision marketing.
This article explains how to install and use the seekdb Cursor Extension to inject seekdb's official documentation into the .cursor/rules directory, giving the Cursor AI assistant knowledge of vector search, hybrid search, and more. It then demonstrates the actual results and inner workings with a Python hybrid search example.
This is Chapter 4 of the Agentic RAG series. It explains in detail how Hybrid Search fuses three modalities — vector search, sparse search, and full-text search — and walks through a complete, hands-on solution built on seekdb that combines weighted score fusion with an Agent that dynamically selects the search strategy.
Zhimin, the product owner for OceanBase ecosystem tools, takes a deep dive into the roles and relationships of the four operations and management tools — OAT, obd, OCP, and obshell / obshell Dashboard. He offers tool-combination recommendations for different business stages and lays out an online data migration path for upgrading from the community edition to the enterprise edition.