Which is better: DB GPT or RAGFlow?

DB GPT excels at organizations combining ai with existing database infrastructure with a rating of 4.2/5. RAGFlow is great for building sophisticated rag systems with agent capabilities with a rating of 4.5/5. The best choice depends on your specific needs and use case.

Is DB GPT or RAGFlow free?

DB GPT is open-source. RAGFlow is open-source. Check their official websites for the latest pricing details.

DB GPT vs RAGFlow (2026)

Compare DB GPT and RAGFlow: features, pricing, pros and cons. Find out which tool is right for you in 2026.

DB GPT

4.2

Open-source

Open-source agentic AI data assistant for database interaction, data analysis, and private AI deployments.

Key Features

Agentic AI assistant for database and data interactions
RAG capabilities for combining structured data with LLMs
Multi-model support including GPT-4, DeepSeek, and local models
Privacy-focused with private deployment options

Pros

+ Bridges the gap between AI and traditional database systems
+ Supports multiple LLMs for flexible data interaction
+ Open source with 18.6k GitHub stars

Visit DB GPT

RAGFlow

4.5

Open-source

Leading open-source RAG engine combining retrieval-augmented generation with agent capabilities for superior LLM context.

Key Features

RAG engine with integrated agent capabilities
Deep document understanding across multiple formats
Supports various LLMs with flexible deployment options
Open source with 78.8k GitHub stars

Pros

+ Combines RAG and agent capabilities in a single platform
+ Massive community with 78.8k GitHub stars
+ Deep document understanding goes beyond simple text extraction

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Verdict

RAGFlow has a higher rating (4.5/5) and excels at Building sophisticated RAG systems with agent capabilities. DB GPT is better suited for Organizations combining AI with existing database infrastructure. Choose based on your primary use case.