03/03/2024
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Opportunity to learn about RAG implementation with with OpenAI
Leveraging Microsoft Azure Cosmos DB for Enhanced AI Applications with RAG and LLM
Discover the transformative capabilities of Microsoft Azure Cosmos DB as a vector database, seamlessly integrating with Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) like OpenAI’s GPT models. This presentation delves into the innovative use of Azure Cosmos DB to store and manage vector embeddings, enabling advanced AI applications that require semantic understanding and matching of data.
We’ll explore how Cosmos DB’s vector database functionalities support the augmentation of generative AI, allowing for contextually relevant and accurate responses from AI models. By overcoming token limits and reducing fine-tuning costs, Cosmos DB empowers applications with scalable, consistent, and efficient data handling.
Join us to learn how Azure Cosmos DB, combined with RAG Richie and LLMs, revolutionizes the way we approach AI-driven data retrieval and generation, setting a new standard for intelligent application development.
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