Stale Embeddings Hurt Search Quality in RAG: How to Fix It

Application data changes, but its vector embeddings do not update by themselves. Stale embeddings can reduce semantic-search relevance and hurt the quality of results returned by RAG applications. Some techniques include: - Generate embeddings in the application's write path - Regenerate them asynchronously using a change feed and background worker - Let the data platform manage updates (for instance, with Integrated Embeddings in Azure Cosmos DB) Learn more: https://aka.ms/embeddings-cosmosdb 00:00 Why embeddings need to stay synchronized 00:27 Option 1: Generate embeddings on write 00:45 Option 2: Update embeddings asynchronously 01:29 Option 3: Managed updates with Azure Cosmos DB 02:28 Choosing the right approach #RAG #VectorSearch #AzureCosmosDB