# Azure AI Search Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/azure-ai-search
> Markdown URL: https://aitinkerers.org/technologies/azure-ai-search.md
> Technology record last updated: 2026-02-23T03:48:46Z
> Generated: 2026-09-21T07:50:24Z

Managed AI service for enterprise-grade information retrieval: delivers vector, hybrid, and semantic search over your proprietary data.

Azure AI Search (formerly Azure Cognitive Search) is your fully managed cloud solution for intelligent data retrieval. It handles the heavy lifting: ingest proprietary content from sources like Azure Blob Storage, enrich it with Azure AI services (OCR, entity recognition), and build a high-performance index. The core strength is its advanced retrieval stack: deploy vector search for meaning-based matching, keyword search for precision, or hybrid retrieval combining both for superior relevance. This platform is essential for grounding large language models (LLMs) in Retrieval-Augmented Generation (RAG) architectures, ensuring your AI agents provide accurate, context-aware answers from your private knowledge base.

- Official technology site: https://learn.microsoft.com/en-us/azure/search/search-what-is-azure-search
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Agentic RAG using .NET, Azure AI Search and Semantic Kernel (Part 1)](https://boston.aitinkerers.org/talks/rsvp_x_7FBZozC6Y)

I'm working on improving a RAG application I started last year as a baseline RAG application. The typical semantic search only gets you so far. Now I'm rewriting it to be an agentic RAG application ... and learning a lot along the way. Currently it is .NET and Semanic Kernel.

- Event context: AI Tinkerers Boston June Meetup @ MIT! — 2025-06-30 — Boston
- Public talk page: https://boston.aitinkerers.org/talks/rsvp_x_7FBZozC6Y

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