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* Initial plan * Add FoundryMemoryProvider and tests Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * Add sample and documentation for FoundryMemoryProvider Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * Address code review feedback for FoundryMemoryProvider Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * Address PR review comments: Add DEFAULT_SOURCE_ID, use logging.getLogger, move state to session.state Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * Fix Foundry memory ItemParam usage and exports Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Refactor provider hook state and standardize source IDs Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Support endpoint-based Foundry memory init Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix core README workflows link Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updated implementation and sample * Split out Foundry memory provider changes Remove FoundryMemoryProvider implementation/tests/sample plus export and docs mentions from this branch so only non-Foundry changes remain. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Trigger CI rerun for PR #3995 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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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