Retrieval-augmented generation (RAG) significantly enhances the reliability of large language models, reducing their tendency to hallucinate by connecting them to specific data sources.
LLM application frameworks function as orchestration providers, efficiently linking data sources, vector databases, and LLM models while simplifying the development process for applications.
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