06 - Summary
Summary of the module.
Summary
In this module, you learned how to interact with Azure Cosmos DB for NoSQL using the SDK and execute SQL queries.
Key Takeaways
- Cosmos DB Concepts: You explored the hierarchy of Accounts, Databases, and Containers, and understood the importance of partitioning.
- SDK Implementation: You saw how to use the Azure Cosmos DB SDK to connect to an account and perform CRUD operations programmatically.
- SQL Queries: You learned how to write SQL queries to filter and retrieve specific JSON documents.
- RAG Integration: You practiced building a document store that can serve as the retrieval backend for a Retrieval-Augmented Generation (RAG) AI application.
By mastering these skills, you can now build robust, scalable data layers for modern, intelligent applications on Azure.
05 - Exercise - Build a RAG document store
Build a Retrieval-Augmented Generation (RAG) document store on Azure Cosmos DB for NoSQL.
12 - Implement vector search on Azure Cosmos DB for NoSQL
Learn how to store vector embeddings, execute similarity queries using the VectorDistance function, combine vector search with metadata filters and hybrid search, and use the change feed to keep embeddings synchronized.