Loading...

Azure Cosmos DB with DiskANN Part 4: Stable Vector Search Recall with Streaming Data

Azure Cosmos DB with DiskANN Part 4: Stable Vector Search Recall with Streaming Data

Vector Search with Azure Cosmos DB  In Part 1 and Part 2 of this series, we explored vector search with Azure Cosmos DB and best practices for scaling it to 1 billion vector datasets while maintaining low query latency. In Part 3, we saw how we can create efficient sharded DiskANN indices for multi-tenant apps.  […]

The post Azure Cosmos DB with DiskANN Part 4: Stable Vector Search Recall with Streaming Data appeared first on Azure Cosmos DB Blog.

Published on:

Learn more
Azure Cosmos DB Blog
Azure Cosmos DB Blog

The latest news, updates and technical insights from the Azure Cosmos DB team

Share post:

Related posts

What’s new with Azure Repos?

We thought it was a good time to check in and highlight some of the work happening in Azure Repos. In this post, we’ve covered several recent ...

20 hours ago

Part 1: Building Your First Serverless HTTP API on Azure with Azure Functions & FastAPI

Introduction  This post is Part 1 of the series Serverless Application Development with Azure Functions and Azure Cosmos DB, where we explore ...

1 day ago

Announcing GPT 5.2 Availability in Azure for U.S. Government Secret and Top Secret Clouds

Today, we are excited to announce that GPT-5.2, Azure OpenAI’s newest frontier reasoning model, is available in Microsoft Azure for U.S. Gover...

1 day ago

Sync data from Dynamics 365 Finance & Operations Azure SQL Database (Tier2) to local SQL Server (AxDB)

A new utility to synchronize data from D365FO cloud environments to local AxDB, featuring incremental sync and smart strategies.

2 days ago

Azure Cosmos DB Conf 2026 — Call for Proposals Is Now Open

Every production system has a story behind it. The scaling limit you didn’t expect. The data model that finally clicked. The tradeoff you had ...

2 days ago
Stay up to date with latest Microsoft Dynamics 365 and Power Platform news!
* Yes, I agree to the privacy policy