Seekdb

OceanBase seekdb is an AI-native search database engineered to simplify and accelerate the development of sophisticated intelligent applications. It solves the critical challenge of fragmented data infrastructure by unifying relational, vector, text, JSON, and GIS data types within a single engine. This consolidation allows developers to execute complex hybrid searches and run end-to-end Retrieval-Augmented Generation (RAG) workflows directly inside the database, ensuring accuracy, performance, and enterprise-grade reliability.

Key Features

seekdb delivers a full-stack data foundation for AI, from search optimization to real-time inference, enabling you to move quickly from prototyping to scalable production environments.

• ⚡️ Hybrid Search Optimization: Achieve superior search results by combining multi-path retrieval—vector similarity, keyword-based full-text search, and precise relational filters—in a single, unified SQL statement. This dramatically optimizes recall and precision, crucial for high-quality RAG outputs.
• 🧠 AI Functions Inside the Database: Streamline your RAG pipelines by executing core AI tasks—such as generating vector embeddings (AI_EMBED), LLM inference (AI_COMPLETE), and sophisticated result reranking (AI_RERANK)—directly within the database using standard SQL functions. This eliminates the latency and complexity of managing external inference services.
• 🌐 Multi-Model Data Unification: Move beyond siloed data stores. seekdb natively supports relational tables, dense and sparse vectors, unstructured text, JSON documents, and GIS data in one engine. This foundational capability simplifies data management and enables highly integrated, complex queries across all data modalities.
• 🛡️ SQL Inside & ACID Reliability: Built upon the proven OceanBase engine, seekdb offers full Online Transaction Processing (OLTP) capabilities, real-time writes, and full ACID compliance (Atomicity, Consistency, Isolation, Durability). This ensures the data integrity and transactional security required for mission-critical applications, while maintaining seamless compatibility with the vast MySQL ecosystem.
• 🚀 Rapid Prototyping and Scaling: Begin development instantly using the lightweight Embedded Mode, installable via a simple pip install pyseekdb command. When ready for production, easily transition to the stable Client/Server mode or migrate seamlessly to the distributed OceanBase platform to handle massive user workloads.

Use Cases

OceanBase seekdb is designed to power the next generation of intelligent systems by providing a reliable and unified data layer for complex AI tasks.

1. Enhanced RAG and Knowledge Retrieval

Large Language Models (LLMs) are limited by their training data. seekdb addresses this by providing an efficient, secure foundation for RAG. By leveraging hybrid search and built-in AI functions, you can introduce timely and trusted external knowledge to the LLM, dramatically improving answer quality, reducing hallucination, and providing multi-level access control to safeguard data privacy across heterogeneous knowledge sources. This is ideal for applications like Enterprise QA and Customer Support systems.

2. Semantic Search Engines

Traditional keyword search often fails to capture user intent. Using seekdb’s vector indexing (supporting HNSW and IVF types) and BM25 full-text ranking, you can build advanced semantic search engines. This allows applications to understand the meaning and context behind queries, delivering more precise, context-aware results across modalities, such as optimizing e-commerce product search or enabling text-to-image retrieval.

3. Agentic AI and Automation

Autonomous AI agents require robust memory, planning, and reasoning capabilities. seekdb provides a unified platform that manages the agent’s memory (metadata and multimodal data), enables complex mixed queries (vector/text/relational), and facilitates built-in inference. This unified foundation supports the development of scalable, production-grade Personal Assistants and sophisticated Enterprise Automation platforms.

seekdb differentiates itself not just through its feature set, but through its ability to unify critical enterprise requirements—reliability, performance, and flexibility—into an AI-native architecture.

• Enterprise-Grade Data Integrity: Unlike many specialized vector databases, seekdb inherits the transactional robustness of the OceanBase engine, providing full ACID compliance and MVCC. This is non-negotiable for applications where data consistency and reliability are paramount, such as financial systems or critical enterprise workflows.
• Full Lifecycle Deployment Flexibility: You can start instantly with the Embedded Mode for local development, run stable services in Client/Server Mode, and scale seamlessly to global traffic using the OceanBase Distributed Database—all without changing your core application logic or data model.
• Unified Development Experience: Developers benefit from MySQL compatibility and a unified SQL interface for querying all data types (relational, vector, text). This dramatically lowers the learning curve and allows existing teams to leverage standard MySQL drivers and tools, accelerating time-to-market.

Conclusion

OceanBase seekdb is the unified data platform designed for the complexities of modern AI applications. By consolidating relational integrity, vector performance, and in-database AI functions, seekdb empowers you to build faster, more accurate, and more reliable intelligent systems.