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Vector DBFreemiumOpen Source
TIDB
Distributed SQL database with vector search for AI workloads
Apache-2.0
ABOUT
Modern AI applications need a database that handles transactional writes, analytical queries, and vector similarity search — typically requiring separate systems for each workload, with complex data movement between them. TiDB is a distributed SQL database that natively supports vector embeddings with HNSW indexing alongside standard SQL operations and ACID transactions. Teams building RAG pipelines or AI agents can store application data, user profiles, and embeddings in a single MySQL-compatible database that scales horizontally without application changes.
INSTALL
curl --proto '=https' --tlsv1.2 -sSf https://tiup.io/install.sh | sh
tiup playground
INTEGRATION GUIDE
1. Store application data and vector embeddings in a single SQL database for RAG pipelines and AI agents
2. Run hybrid search queries that combine vector similarity with SQL filters, joins, and aggregations
3. Scale a transactional database horizontally for AI workloads without sharding or application rewrites
4. Replace separate OLTP and vector databases with one system for AI-powered applications
TAGS
databasesqlvector-searchdistributednew-sqlmysql-compatible