SQLite.AI

SQLite AI is a distributed, AI-native database solution that elevates the familiar simplicity of SQLite by adding cloud-powered scalability, fault tolerance, and powerful AI extensions. Designed specifically for developers, this platform solves the challenge of unifying sophisticated on-device intelligence with global cloud infrastructure, enabling the creation of robust, local-first applications across mobile, IoT, and critical edge devices. It allows your applications to truly think locally, sync seamlessly, and scale globally.

Key Features

SQLite AI transforms the embedded database experience through a suite of integrated extensions, allowing developers to build advanced, intelligent applications without complex external dependencies.

🧠 SQLite-AI: Embedded LLM and Speech Inference

This extension brings powerful AI capabilities directly into your database using embedded models like llama and whisper. You can now perform local LLM inference, text generation, embedding creation, speech recognition, and translation via a simple SQL interface. This capability ensures the AI runs exactly where the data lives, drastically reducing latency and enabling robust, privacy-preserving intelligence without relying on external cloud endpoints.

🔗 SQLite-Sync: Conflict-Free Local-First Synchronization

Achieve a true zero-latency local experience with built-in offline support and automatic synchronization across devices. Leveraging CRDTs (Conflict-free Replicated Data Types), SQLite-Sync guarantees that changes made while offline are automatically and seamlessly merged when reconnected, eliminating the typical complexities of data conflicts and overwrites.

🔎 SQLite-Vector: Real-Time Vector Search at the Edge

Implement high-performance retrieval augmented generation (RAG) and semantic search directly on resource-constrained devices. This ultra-efficient extension provides vector search capabilities with lightning-fast performance, optimized C implementation, and SIMD acceleration, allowing you to query millions of high-dimensional vectors in milliseconds with a minimal memory footprint.

☁️ SQLite-Cloud: Global Distribution and Consistency

Manage global deployment, scaling, and operational resilience effortlessly. SQLite-Cloud provides continuous auto-backup with point-in-time recovery, real-time subscriptions, and zero-setup synchronization between edge and cloud. The system ensures high concurrency and strong consistency across globally distributed nodes using the Raft protocol, eliminating the operational burden of managing distributed infrastructure.

💻 SQLite-JS: Programmable Logic with JavaScript

Extend your database with custom logic using JavaScript. This feature allows you to define custom scalar, aggregate, window functions, and collation sequences, running JavaScript logic inside your SQL queries. Crucially, these function definitions are synced across all devices using SQLite-Sync, ensuring consistent, programmable behavior throughout your distributed application stack.

Use Cases

SQLite AI is engineered to simplify the development of complex, high-performance distributed applications where local resilience and intelligence are paramount.

• Building Collaborative Editors: Implement robust local-first applications where multiple users can edit the same document across different devices, even when offline. SQLite-Sync ensures that all changes are merged automatically and without conflicts, guaranteeing data integrity and a seamless user experience.

• Deploying Intelligent IoT Workloads: Use the platform for running private, local, and secure AI workloads on IoT devices, robotics, or automotive systems. Leverage the embedded SQLite-AI extension for real-time anomaly detection, local voice recognition, or sensor data analysis, ensuring data privacy is maintained as inference occurs entirely on-device.

• Developing Real-Time Consumer Apps (Mobile/Web): Leverage Weblite technology to integrate SQLite databases directly into any web app via HTTP requests, providing autogenerated RESTful APIs. This eliminates the need for an intermediate backend layer, significantly accelerating development for applications like personal finance trackers or complex fitness platforms that require seamless offline capabilities and real-time syncing across wearables and mobile devices.

Unique Advantages

SQLite AI stands apart by consolidating database distribution, AI capabilities, and local-first architecture into a single, cohesive, and remarkably simple solution.

• AI at the Edge, Fully Programmable with SQL: Unlike platforms requiring external ML pipelines or cloud APIs, SQLite AI embeds models like llama and whisper directly. All AI capabilities—from generating embeddings to running inference—are accessible via standard SQL queries, significantly simplifying the stack and removing the need for specialized ML expertise in application development.

• Zero Infrastructure Overhead: The system is serverless, self-contained, and requires zero configuration. Deployment is as simple as copying a file, making it ideal for environments where infrastructure management is impractical (mobile, IoT, automotive). This design also supports offline functionality natively.

• Privacy-Preserving by Design: By enabling high-performance LLM inference and vector search to run entirely on the device (using the SQLite-AI and SQLite-Vector extensions), applications can meet strict data protection and privacy requirements, as sensitive data never needs to leave the local device for processing.

• Significant Cost Reduction: Running AI inference locally, rather than relying on repeated external cloud API calls, can deliver substantial operational savings, reducing AI inference costs by up to 99% in high-volume applications.

• Blazing-Fast Vector Performance: The SQLite-Vector extension is a C implementation optimized with SIMD acceleration, offering real-time performance to query millions of vectors in milliseconds, even on resource-constrained hardware.

Conclusion

SQLite AI empowers developers to build the next generation of intelligent, distributed applications that are inherently local-first, highly available, and globally scalable. By unifying the simplicity of embedded SQLite with state-of-the-art AI and distributed synchronization, you can focus entirely on application logic, not infrastructure management.

Explore how SQLite AI can accelerate your edge development and start building smarter applications today.