Complete project (web, api, data) covering the implementation of the RAG (Retrieval Augmented Generation) pattern using Azure Cosmos DB for MongoDB vCore and LangChain. The RAG pattern combines leverages the new vector search capabilities for Azure Cosmos DB.
Enhance LLM retrieval performance with Azure Cosmos DB Semantic Cache. Learn how to integrate and optimize caching strategies in real-world web applications.
Explores the implementation of a LangChain Agent using Azure Cosmos DB for MongoDB vCore to handle traveler inquiries and bookings. The project provides detailed instructions for setting up the environment and loading travel data, aiming to empower developers to integrate similar agents into their solutions.
Add a description, image, and links to the azurecosmosdb topic page so that developers can more easily learn about it.
To associate your repository with the azurecosmosdb topic, visit your repo's landing page and select "manage topics."