1.9 KiB
Azure AI Search Package (agent-framework-azure-ai-search)
Integration with Azure AI Search for RAG (Retrieval-Augmented Generation).
Main Classes
AzureAISearchContextProvider- Context provider that retrieves relevant documents from Azure AI SearchAzureAISearchSettings- Pydantic settings for Azure AI Search configuration
API versions: stable vs preview
The package depends on azure-search-documents>=12.0.0,<13, which spans both channels, and
auto-detects which build is installed — there is no api_version parameter:
| Channel | Install | SDK | Data-plane api-version (chosen by the SDK) |
|---|---|---|---|
| Stable / GA | pip install azure-search-documents |
12.0.0 |
2026-04-01 |
| Preview | pip install --pre azure-search-documents |
12.1.0b1 |
2026-05-01-preview |
The provider never pins an api-version; the installed build picks its own default, so newer
releases work without code changes (single source of truth = the install).
Capability gating keys off _preview_agentic_features_available — whether the preview build's
agentic symbols (KnowledgeRetrieval{Low,Medium}ReasoningEffort, KnowledgeRetrievalOutputMode)
can be imported. Agentic output mode (answer_synthesis) and extended reasoning effort
(low/medium) ship only in the preview build; on a stable build the provider omits them
(extractive + minimal) and raises an actionable ValueError (citing the installed version) if
they are explicitly requested. Semantic mode is unaffected.
Usage
from agent_framework.azure import AzureAISearchContextProvider
provider = AzureAISearchContextProvider(
endpoint="https://your-search.search.windows.net",
index_name="your-index",
)
agent = Agent(..., context_provider=provider)
Import Path
from agent_framework.azure import AzureAISearchContextProvider
# or directly:
from agent_framework_azure_ai_search import AzureAISearchContextProvider