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Giles Odigwe
0340b7596b
* Python: bump package versions for 1.3.0 release MINOR bump on the released cohort (agent-framework, agent-framework-core, agent-framework-openai, agent-framework-foundry: 1.2.2 -> 1.3.0). All 22 beta packages stamp 1.0.0b260507 and all 3 alpha packages stamp 1.0.0a260507 per the lockstep convention. Date stamp reflects 2026-05-07 Pacific. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address review: bump foundry_local openai floor, fix devui orchestrations pin, clarify breaking scope - foundry_local: bump agent-framework-openai lower bound from >=1.1.0 to >=1.3.0 - devui: update stale agent-framework-orchestrations dev pin from 1.0.0b260402 to 1.0.0b260507 - CHANGELOG: clarify [BREAKING] applies to experimental skills API only Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Revert devui orchestrations pin to 1.0.0b260402 to avoid breaking DevUI Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
0340b7596b
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2026-05-08 08:57:02 +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