SeekDBTranslation site

What is SeekDB?

SeekDB OceanBase is the world's first open-source, officially released on November 18, 2025 AI nativecomprehensive database, designed to address the pain points of data processing in the age of AI. As “Data×AI” Strategy SeekDB is the core product of SeekDB, which realizes the transformation of database from traditional business support system to AI Data Portal It supports unified storage and retrieval of multimodal data, deeply integrates AI reasoning and data processing capabilities, and provides developers with a minimalist, efficient, and secure next-generation data base.

SeekDB'sKey Features

1. AI Native Hybrid Search
   • Unified multimodal search: It supports the unified storage and mixed query of vector, full text, scalar (structured data), JSON, spatial geography (GIS) and other data. For example, in the anti-fraud scenario, the composite conditions of “transactions exceeding 50,000 yuan in the past 7 days, location anomalies, and behavior similar to historical fraud samples” can be retrieved in one click without cross-system calls.
   • Intelligent Search MechanismMulti-stage retrieval using “coarse+fine ranking”, combined with semantic understanding to optimize query precision. For example, text matching is extended from precise keywords to near-synonyms (e.g., “dissatisfied” is associated with “bad review” and “poor experience”), which significantly improves the recall rate.
   • Real-time transaction processingThe company relies on OceanBase's mature transaction engine to support high concurrency real-time writes and ACID consistency, while being compatible with the MySQL ecosystem to reduce migration costs.
2. Minimal Deployment and Development
   • Ultra-lightweight operation: as low as 1-core CPU, 2GB RAMSupport pip install One-click installation, second startup, compatible with embedded and client/server dual mode.
   • Building AI apps in three lines of code: With built-in AI functions and SQL extensions, developers can quickly implement knowledge bases, intelligences, and other applications. For example, three lines of code can build a product recommendation system based on vector search.
   • Full Scene AdaptationThe SQL and Python SDKs are provided to allow developers to choose the way they want to develop and seamlessly integrate into the existing technology stack.
3. Deep AI ecological compatibility
   • Mainstream frameworks are fully supported: Compatible with Hugging Face, LangChain, Dify, etc. More than 30 AI frameworks and MCP large model protocol, covering core scenarios such as large model reasoning, RAG (Retrieval Augmented Generation), and intelligent customer service.
   • open source toolchain collaboration: Synchronized open source PowerRAG (Intelligent Document Parsing) together with PowerMem (layered memory architecture)PowerMem has also been ranked as the top SOTA in the LoCoMo Benchmark, reducing Token consumption by 961 TP4T and providing significant savings in inference costs.
4. Enterprise Security and Scaling
   • Security mechanisms for keeping data out of the warehouseThrough the “Document in, Data out” design, all data processing is completed in the database, avoiding sensitive data leakage and meeting the high security requirements of financial and governmental affairs.
   • Integrated Convergence ArchitectureAs a core component of OceanBase version 4.4, SeekDB can be integrated with TP (transaction processing) and AP (analytical processing) capabilities in a single core, supporting distributed scaling and multi-cloud deployments to help organizations avoid the risk of late-stage architectural reconfiguration.

SeekDB'sUsage Scenarios

1. financial risk control
   • Real-time anti-fraud: Quickly identify abnormal transaction behavior through hybrid search. For example, combining multi-dimensional data such as transaction amount, geographic location, and user behavior vectors to block fraudulent operations in milliseconds.
   • Compliance audits: Unified retrieval of structured logs and unstructured documents (e.g., contracts, chat logs), automatic generation of audit reports, and improved compliance efficiency.
2. e-commerce retail
   • Intelligent RecommendationsBased on the similarity matching between user behavior vectors and product feature vectors, it can realize personalized functions such as “map search” and “cross-category recommendation”.
   • Virtual fitting/previewThe company's goal is to create a virtual try-on effect by combining 3D product models with user body vectors to increase purchase conversion rates.
3. Content and Knowledge Management
   • Enterprise-level knowledge baseFor example, China Unicom uses SeekDB to realize private document rights management and efficient retrieval to solve the problem of information silos. For example, China Unicom realizes private document rights management and efficient retrieval based on SeekDB to solve the problem of information silos.
   • Intelligent Customer ServiceThe result is a hybrid search that understands user intent and combines with PowerRAG to parse documents and generate accurate answers, improving response speed and accuracy.
4. Robotics and autonomous driving
   • environmental awarenessIt fuses camera, radar and other multi-sensor data in real time to generate 3D environment models, supporting autonomous navigation and obstacle recognition.
   • Decision Optimization: Based on historical data vectors and real-time scalar information (e.g., vehicle speed, road conditions), the driving strategy is dynamically adjusted to enhance safety.

Recommended Reasons

1. Technological foresight
   SeekDB redefines the role of databases in the AI era, upgrading from a “data storage tool” to a “smart data portal”, with its hybrid search capabilities becoming a key watershed for AI-native databases. Gartner predicts that by 2028, database spending to support generative AI will account for 74% of the market, and SeekDB has already seized the first opportunity.
2. Minimalist Development and Efficient Operation and Maintenance
   • Developer FriendlyAI applications can be built in three lines of code, installed and deployed in one click, and compatible with 30+ AI frameworks, dramatically lowering the technical threshold.
   • Resource efficiencyThe newest version of the product is a 1-core CPU with 2GB of RAM, which is suitable for edge computing and lightweight scenarios and saves on hardware costs.
3. Enterprise Security and Performance
   • data security: All processing is done within the database, avoiding sensitive data leakage and meeting high security requirements for financial and governmental affairs.
   • real time performance: millisecond response to hybrid queries, support for highly concurrent transaction processing, adapted to real-time reasoning scenarios.
4. Open Source Ecology and Community Support
   • Completely open sourceThe Apache 2.0 protocol allows developers to use, modify, and extend it freely, avoiding vendor lock-in.
   • Complete tool chainThe company has open-sourced PowerRAG, PowerMem, and other components to cover the entire process of data management, retrieval, parsing, and memorization, accelerating the landing of AI applications.
5. Industry validation and scale-up
   • Validated Scenarios: Successfully applied to knowledge base construction, intelligent body search and other scenarios in customers such as China Unicom and Ant Group, proving the maturity of the technology.
   • Global service capabilitiesOceanBase has served 4000+ enterprises, covering finance, communication, manufacturing, etc. The cloud service supports seven major cloud vendors, with business in 16 countries and regions.