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Giles Odigwe
47fa59f8e9
* fixes * fixes * Python: bump package versions for 1.4.0 release Cuts the python-1.4.0 release. MINOR bump on the released cohort (agent-framework, agent-framework-core, agent-framework-openai, agent-framework-foundry: 1.3.0 -> 1.4.0), driven by breaking changes in experimental skills API and new features. All 21 beta packages stamp 1.0.0b260514, all 3 alpha packages stamp 1.0.0a260514, and ag-ui remains at 1.0.0rc1 (freshly promoted). Date stamp reflects 2026-05-14 Pacific. - Released cohort: 1.3.0 -> 1.4.0 - Beta packages (21): 1.0.0b260507 -> 1.0.0b260514 - Alpha packages (3): 1.0.0a260507 -> 1.0.0a260514 - ag-ui: stays at 1.0.0rc1 (dep bound updated only) - Inter-package dependency lower bounds updated (>=1.3.0 -> >=1.4.0) - Fix chatkit StructuredInputItem exhaustiveness for openai-chatkit 1.6.4 - Update CHANGELOG compare links - uv.lock refreshed Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
47fa59f8e9
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2026-05-15 09:31:03 +09:00
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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