DB-GPT is an open-source AI-native data application development framework with 16,000+ GitHub stars, providing infrastructure for building database-connected AI applications. The platform features AWEL (Agentic Workflow Expression Language) for orchestrating complex multi-step database operations, a multi-model management layer supporting local and API-based LLMs, and RAG framework optimized for database contexts. Supports PostgreSQL, MySQL, SQLite, DuckDB, ClickHouse, and more. Key capabilities include automated schema understanding, multi-agent collaboration for complex queries, knowledge graph integration, and fine-tuning pipelines for domain-specific accuracy. The platform provides both a web UI for end users and Python APIs for developers building custom applications. Page should cover: AWEL workflow language tutorial, multi-model configuration, RAG implementation details, agent architecture explanation, deployment options (Docker, Kubernetes), and comparison with Vanna.ai and Wren AI.
DB-GPT
DB-GPT is an open-source AI-native data application development framework with 16,000+ GitHub stars, providing infrastructure for building database-connected AI applications.
Tags
Popular tags
open-source17embedding database2free BI tool2open source BI2data quality2vector database2database migration2data governance platform2data observability2database DevOps2natural language BI2AI visualization1analytics engineering1BigQuery AI1BigQuery ML1BigQuery Studio1Copilot analytics1Cortex AI1Cortex Analyst1data transformation1Databricks AI/BI1Databricks analytics1DBeaver1DBeaver AI1