#RAG framework

Vanna is an open-source Python framework enabling high-accuracy SQL query generation through retrieval-augmented generation, suitable for complex datasets. It ensures data privacy and integrates easily into Jupyter Notebook. Ideal for developers seeking precise and innovative data solutions.

DB-GPT is an open-source framework designed to streamline the development of large model applications. With features like Agentic Workflow Expression Language (AWEL) and a multi-agents framework, it allows the creation of customized data applications with minimal coding. The platform supports Text2SQL, RAG frameworks, and manages multiple models. The latest update includes AWEL 2.0, improved visualization tools, and enhanced fine-tuning options, facilitating efficient data processing and interaction with data sources for practical business insights.

Uncover how LongRAG enhances Retrieval-Augmented Generation with long-context LLMs, integrating 'long retriever' and 'long reader' for comprehensive 4K-token analysis. Access comprehensive guides and leverage cutting-edge LLMs like Gemini-1.5-Pro and GPT-4o for superior data handling.