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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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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Purvanshsingh/Databricks-LLMs-RAGalaxy
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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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