TiDB is an integrated database solution tailored for AI applications. It supports vector search, semantic knowledge graph search, and operational data management. Its serverless architecture ensures reliability and scalability, eliminating the need for manual data synchronization and management of multiple data stores. With enterprise-grade features such as role-based access control, encryption, and high availability, TiDB is ideal for production-ready AI applications that demand performance, security, and ease of use. TiDB's platform compatibility spans both cloud-based and local deployments, making it versatile for various infrastructure needs.

LoveAI API provides access to 300+ AI models for generating text, images, music, and more. With LoveAI API, developers can quickly integrate high-quality generative AI capabilities into their applications, enjoying 99.9% uptime and support for various tech stacks. It allows for transforming text prompts into creative outputs like music, visuals, and customized experiences, and supports scalable and reliable performance for enterprise needs.

Octagon Agents is an enterprise-grade platform that enables developers and organizations to create, orchestrate, and scale autonomous AI Agents. It features a visual workflow editor and SDKs for Python and JavaScript, allowing users to configure agent behaviors, integrate external APIs, and manage stateful memories. Agents can be chained into complex pipelines, enabling decision-making across multiple tasks such as data extraction, analysis, and automated responses. With real-time monitoring dashboards, logging, and retry mechanisms, Octagon Agents ensures reliability and traceability in production environments. Moreover, built-in authentication and encryption provide robust security, making it suitable for sensitive business applications. Teams can deploy agents on cloud or on-premise infrastructure, achieving high availability and performance.

Llama Deploy enables you to transform your LlamaIndex data indexes into production-ready AI agents. By configuring deployment targets such as AWS Lambda, Vercel Functions, or Docker containers, you get secure, auto-scaled chat APIs that serve responses from your custom index. It handles endpoint creation, request routing, token-based authentication, and performance monitoring out of the box. Llama Deploy streamlines the end-to-end process of deploying conversational AI, from local testing to production, ensuring low-latency and high availability.