Vector search
Concept
Vector search finds data by similarity of embeddings rather than exact matches and is a foundation for retrieval-augmented AI applications; Azure SQL Database and SQL Server 2025 support it natively.
| Type | Concept |
|---|
Articles about Vector search (6)
- Traditional vs. Vector Databases: Why Context Beats Keywords in AI
· Mirko Peters
Welcome back to the podcast companion blog! In today's fast-paced digital ecosystem, artificial intelligence and large language models have completely shifted how w… - Conquering the Billion-Vector Problem in Azure AI Search
· Mirko Peters
Welcome to our deep dive into one of the most pressing challenges in modern enterprise artificial intelligence: scaling vector search to billions of records. If you… - Why Pure Vector Search Fails Enterprise AI (And How to Fix It)
· Mirko Peters
When you start deploying generative AI across your organization, you quickly realize that standard Retrieval-Augmented Generation (RAG) setups lean heavily on pure … - Solving the Billion-Vector Problem in Azure AI Search
· Mirko Peters
Explore the unique technical challenges of searching massive datasets at scale. This post breaks down how high dimensionality and memory constraints impact enterpri… - Beyond Retrieval: Implementing LLM Wikis and Advanced Memory Layers for Enterprise AI
· Mirko Peters
Welcome back to the podcast and our companion blog! Today, we are diving deep into a topic that has been dominating architectural whiteboards across the enterprise … - Microsoft 365 Copilot Search
· Mirko Peters
Understand how Microsoft 365 Copilot Search retrieves results through Microsoft Graph, semantic indexing, permissions, and enterprise data context.
Community wiki
Short info above, community knowledge below: add practical tips, examples or corrections. New contributions are reviewed first; trusted members publish directly.
Experts and companies for this topic
Nobody has listed this topic yet. Add it to your profile.
Sources
- Feed for this topic (RSS): entity/vector-search/feed.xml
- Articles on this topic: 6
Maintained by Mirko Peters (Microsoft MVP) · Last updated: