AI-native data app development framework with agentic workflow
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DB-GPT is an open-source framework for building AI-native data applications, targeting developers and enterprises seeking to simplify LLM integration with data. It provides tools for multi-model management, RAG, Text2SQL optimization, and multi-agent collaboration, enabling less-code development of bespoke data-driven applications.
How It Works
DB-GPT integrates core capabilities like Retrieval Augmented Generation (RAG) for knowledge-based applications, Generative Business Intelligence (GBI) for data analysis and insights, a fine-tuning framework for domain-specific LLMs, and a data-driven multi-agents system for autonomous data execution. It emphasizes a "Data Factory" for data cleaning and processing, and seamless integration with various data sources.
Quick Start & Requirements
Highlighted Details
Maintenance & Community
Licensing & Compatibility
Limitations & Caveats
The project is actively evolving, with features like GBI and multi-agent systems being core capabilities. Specific performance benchmarks beyond Text2SQL fine-tuning are not detailed in the README.
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