tidb.ai is a knowledge graph based RAG (Retrieval-Augmented Generation) assistant built with TiDB Vector Storage and PyTiDB. It allows users to ask questions about TiDB, such as how to use PyTiDB for vector queries, whether TiDB supports FOREIGN KEY, how to perform vector search or hybrid search, and comparisons with other databases like MySQL RDS. The tool leverages TiDB's vector storage capabilities to provide accurate answers. It is intended for developers and database users seeking quick, intelligent responses about TiDB features and usage. The website also provides links to release notes, a Docker deployment option (Build Your Own), the source code on GitHub, and an API documentation.
Key Benefits
- Uses knowledge graph based RAG for accurate answers
- Integrated with TiDB Vector Storage
- Supports various query types like vector search, full-text search, and hybrid search