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Azure AI Search (formerly Azure Cognitive Search) is a cloud search service with built-in AI capabilities for handling complex content.
This is the hottest topic in AI. **Vector Search** allows you to search based on 'Meaning' rather than keywords. Combined with **RAG (Retrieval-Augmented Generation)**, you can give GPT-4 the specific context of your company's documents, allowing it to answer questions accurately without 'Hallucinating'.
The search service has 'Indexers' that crawl your S3/Blob storage and SQL databases. You can attach **AI Skillsets** to the indexer so that as it finds a PDF, it automatically translates it, extracts the text, and identifies key entities before saving them to the search index.
Q: "Is it an alternative to Elasticsearch?"
Architect Answer: "YES! For .NET teams, it is usually better. It requires zero server management, has a first-class .NET SDK, and its AI capabilities (like semantic ranking) are integrated seamlessly. It's the best choice for any modern 'Search Box' in your application."
Quizzes linked to this course—pass to earn certificates.
On this page
1. Vector Search & RAG 2. Skillsets & Indexing 3. Architect Insight