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Our GitHub repository offers comprehensive resources for implementing Retrieval-Augmented Generation (RAG) within the Databricks environment. It includes detailed documentation, code modules, and experimental data for seamlessly integrating RAG leveraging both Databricks' and OpenAI's Large Language Models (LLMs).

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Databricks-LLMs-RAGalaxy

Our GitHub repository offers comprehensive resources for implementing Retrieval-Augmented Generation (RAG) within the Databricks environment. It includes detailed documentation, code modules, and experimental data for seamlessly integrating RAG leveraging both Databricks' and OpenAI's Large Language Models (LLMs).

About

Our GitHub repository offers comprehensive resources for implementing Retrieval-Augmented Generation (RAG) within the Databricks environment. It includes detailed documentation, code modules, and experimental data for seamlessly integrating RAG leveraging both Databricks' and OpenAI's Large Language Models (LLMs).

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1 watching

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