Longda's Interesting World

A team from Beijing Institute of Technology built QUEST, an intelligent unstructured document analysis system on OceanBase. Through sampling-based selectivity estimation, token cost prediction, coordinated filter-join optimization, and precise RAG-based localization, it breaks through the high-cost bottleneck of traditional full extraction, achieving higher accuracy, lower cost, and shorter latency.

Facing hundreds of millions of new chat-log records every day, BOSS Zhipin compared products such as MySQL and ClickHouse before choosing OceanBase to build a historical archive database, cutting storage resources by over 70% and gradually expanding to core workloads such as chat messages, delivering a triple win in cost, efficiency, and stability.

Building a database auto-diagnosis Agent based on the OpenManus framework to quickly pinpoint database anomalies in 30 minutes, including the complete development process and a hands-on case study.

A comprehensive look at OceanBase 4.3's vector database capabilities, supporting HNSW indexes, hybrid search, and multimodal vectors, boosting AI retrieval efficiency by 45x and reducing development costs by 50%.

Lalamove shares its exploration and practice with OceanBase vector search: starting from pain points of its existing vector database—dynamic schemas, hybrid search, and operational difficulty—it completed its technology selection and implemented LLM application scenarios such as financial-loss code detection and a data warehouse AI Q&A assistant.

360's Commercialization business line shares the application of OceanBase in scenarios such as real-time advertising reports and vector storage, solving three pain points—OOM, high concurrency, and uneven resource utilization—and improving business analytics efficiency by 80%.

Exploring how to use small models instead of full-scale LLMs for intelligent operations on domestic databases, enhancing reasoning ability through context, and building three AI Agents for alert analysis, SQL optimization, and inspection.

Zhihu's database lead shares the journey of deploying OceanBase in Zhihu's core scenarios, including multi-tenant isolation, the introduction of OBKV, the use of the ecosystem toolchain, and experience in joint community building.

An exploration of how data-driven change is transforming the pan-internet industry and the new opportunities this creates for databases, covering technical directions such as HTAP, cloud deployment, AIOps, and security compliance.

The NetEase Games DB SaaS platform brought in the OceanBase distributed database to address pain points such as high concurrency, data synchronization, and storage cost, achieving a storage-cost reduction of more than 60% and a 3x improvement in backup and recovery efficiency.