Intelligent Retrieval

Azure AI Search (formerly Azure Cognitive Search) is a cloud search service with built-in AI capabilities for handling complex content.

1. Vector Search & RAG

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'.

2. Skillsets & Indexing

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.

3. Architect Insight

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."