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| Title & Speakers | Event |
|---|---|
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Building RAG apps with Azure Cosmos DB for MongoDB
2024-09-05 · 17:00
RAG (Retrieval Augmented Generation) is the most common approach used to get LLMs to answer questions grounded in a particular domain's data. Learn how to build a RAG app using vCore-based Azure Cosmos DB for MongoDB and its new vector search capabilities. We'll walk through a Python web app that uses the LangChain package to orchestrate a RAG flow in order to answer questions about a restaurant's data. Presented by Khelan Modi, Product Manager on Azure Cosmos DB team, and John Aziz, Software Developer and Microsoft MVP ** Part of RAGHack, a free global hackathon to develop RAG applications. Join at https://aka.ms/raghack ** 📌 Check out the RAGHack 2024 series here! Pre-requisites: - Read the official rules and join the hack at https://aka.ms/raghack. No Purchase Necessary. Must be 18+ to enter. Contest ends 9/16/24.
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Building RAG apps with Azure Cosmos DB for MongoDB
|
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Building RAG apps with Azure Cosmos DB for MongoDB
2024-09-05 · 17:00
RAG (Retrieval Augmented Generation) is the most common approach used to get LLMs to answer questions grounded in a particular domain's data. Learn how to build a RAG app using vCore-based Azure Cosmos DB for MongoDB and its new vector search capabilities. We'll walk through a Python web app that uses the LangChain package to orchestrate a RAG flow in order to answer questions about a restaurant's data. Presented by Khelan Modi, Product Manager on Azure Cosmos DB team, and John Aziz, Software Developer and Microsoft MVP ** Part of RAGHack, a free global hackathon to develop RAG applications. Join at https://aka.ms/raghack ** 📌 Check out the RAGHack 2024 series here! Pre-requisites: - Read the official rules and join the hack at https://aka.ms/raghack. No Purchase Necessary. Must be 18+ to enter. Contest ends 9/16/24.
|
Building RAG apps with Azure Cosmos DB for MongoDB
|
|
Building RAG apps with Azure Cosmos DB for MongoDB
2024-09-05 · 17:00
RAG (Retrieval Augmented Generation) is the most common approach used to get LLMs to answer questions grounded in a particular domain's data. Learn how to build a RAG app using vCore-based Azure Cosmos DB for MongoDB and its new vector search capabilities. We'll walk through a Python web app that uses the LangChain package to orchestrate a RAG flow in order to answer questions about a restaurant's data. Presented by Khelan Modi, Product Manager on Azure Cosmos DB team, and John Aziz, Software Developer and Microsoft MVP ** Part of RAGHack, a free global hackathon to develop RAG applications. Join at https://aka.ms/raghack ** 📌 Check out the RAGHack 2024 series here! Pre-requisites: - Read the official rules and join the hack at https://aka.ms/raghack. No Purchase Necessary. Must be 18+ to enter. Contest ends 9/16/24.
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Building RAG apps with Azure Cosmos DB for MongoDB
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