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한국어Hybrid search
Concept
Search approach that runs keyword (full-text) and vector queries together and merges the results into one ranked list, for example with Reciprocal Rank Fusion (RRF) in Azure AI Search.
| Type | Concept |
|---|---|
| Documentation | learn.microsoft.com/en-us/azure/search/hybrid-search-overview |
Articles about Hybrid search (4)
- Розв'язання проблеми мільярда векторів в Azure AI Search
· Mirko Peters
Дізнайтеся про унікальні технічні виклики пошуку у величезних наборах даних у масштабі. Цей допис розбирає, як висока розмірність і обмеження пам'яті впливають на робочі навантажен - Mastering Azure AI Search: Beyond Traditional Keyword Matching
· Mirko Peters
Welcome to our deep dive into the world of cloud-based discovery and retrieval systems. If you have ever typed a query into a company intranet, e-commerce site, or … - 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…
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Sources
- Documentation: learn.microsoft.com/en-us/azure/search/hybrid-search-overview
- Feed for this topic (RSS): entity/hybrid-search/feed.xml
- Articles on this topic: 4
Maintained by Mirko Peters (Microsoft MVP) · Last updated: