tidb.ai: Build Intelligent AI Applications with Scalable Vector Storage

tidb.ai is a powerful AI platform designed for developers and organizations seeking to create custom AI applications with robust knowledge management and retrieval capabilities. Built on TiDB Serverless Vector Storage and powered by LlamaIndex, it leverages a knowledge graph-based RAG (Retrieval-Augmented Generation) system to deliver accurate, context-aware AI responses. The platform enables seamless integration of documents, models, and chat engines, offering a flexible and scalable foundation for advanced AI workflows. With comprehensive API support for managing knowledge bases, embedding models, LLMs, and rerankers, tidb.ai empowers users to customize, test, and optimize their AI systems with precision. Its semantic caching and evaluation tools enhance performance and reliability, while admin APIs ensure smooth monitoring and troubleshooting. Ideal for technical teams and innovators pushing the boundaries of AI-driven applications.

Key Features:

• Knowledge graph-based RAG system for enhanced context retrieval
• TiDB Serverless Vector Storage for scalable, high-performance data handling
• Full API support via OpenAPI 3.1 for chat engine, knowledge base, document, and model management
• Document upload, indexing, and reindexing capabilities
• Management of embedding models, LLMs, and reranker models with configurable defaults
• Semantic caching to improve response speed and efficiency
• AI model evaluation and testing tools
• Admin APIs for system monitoring, troubleshooting, and configuration
• "Ask AI" interactive feature for real-time user queries
• Support for chat message retrieval, feedback analysis, and recommended question generation

Pricing: tidb.ai offers a freemium model with free access to core features and paid plans available for advanced usage and enterprise needs.

Conclusion: With its innovative use of vector storage and RAG architecture, tidb.ai stands out as a versatile, developer-friendly platform for building intelligent, scalable AI applications—perfect for teams aiming to integrate deep knowledge retrieval into their AI solutions.