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eaad042241
* Add AGENTS.md files and update coding standards for Python - Add root python/AGENTS.md with project structure and package links - Add AGENTS.md for each package describing purpose and main classes - Update .github/copilot-instructions.md with improved structure - Update python/CODING_STANDARD.md with API review guidance: - Future annotations convention (#3578) - TypeVar naming convention (#3594) - Mapping vs MutableMapping (#3577) - Avoid shadowing built-ins (#3583) - Explicit exports (#3605) - Exception documentation guidelines (#3410) - Simplify python/.github/instructions/python.instructions.md to reference AGENTS.md - Remove AGENTS.md from .gitignore * Fix purview import path in AGENTS.md * Address PR review comments and restructure instructions - Slim down .github/copilot-instructions.md to reference language-specific docs - Add ADR section explaining templates and purpose - Create dotnet/AGENTS.md with .NET-specific build commands, conventions, and sample guidance - Update Python build/test instructions for core vs isolated changes - Fix Microsoft.Extensions.AI package references - Update kwargs guidance per issue #3642 - Fix Python sample helper placement (top, not bottom) - Document new 'typing' poe task in DEV_SETUP.md * Add 'typing' poe task to run both pyright and mypy * Add kwargs guidelines from issue #3642 to CODING_STANDARD.md * Clarify that connector packages pull in core as dependency
eaad042241
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2026-02-05 10:27:46 +00:00
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Get Started with Microsoft Agent Framework Azure AI Search
Please install this package via pip:
pip install agent-framework-azure-ai-search --pre
Azure AI Search Integration
The Azure AI Search integration provides context providers for RAG (Retrieval Augmented Generation) capabilities with two modes:
- Semantic Mode: Fast hybrid search (vector + keyword) with semantic ranking
- Agentic Mode: Multi-hop reasoning using Knowledge Bases for complex queries
Basic Usage Example
See the Azure AI Search context provider examples which demonstrate:
- Semantic search with hybrid (vector + keyword) queries
- Agentic mode with Knowledge Bases for complex multi-hop reasoning
- Environment variable configuration with Settings class
- API key and managed identity authentication