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azure-search-documents-py - Azure AI Search SDK for Python

Use the Azure AI Search Python SDK to create indexes, manage documents, run keyword, vector, hybrid, and semantic searches, and configure skillsets.

Tags

Updated: 2026-09-28

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Create and manage indexes
  • Upload and manage documents
  • Run keyword searches
  • Run vector searches
  • Run hybrid searches
  • Apply semantic ranking
  • Apply filters and facets
  • Provide autocomplete and suggestions
  • Manage indexers and data sources
  • Configure enrichment skillsets
  • Run agentic retrieval

Inputs

  • Azure AI Search endpoint
  • Search index name
  • API key or identity credentials
  • Index configuration
  • Search documents
  • Search query text
  • Query embeddings
  • Filter and facet expressions
  • Data source configuration
  • Skillset configuration
  • Indexer configuration

Outputs

  • Search results
  • Facet values
  • Autocomplete suggestions
  • Document operation status
  • Index state
  • Data source state
  • Skillset state
  • Indexer state

Requirements

  • Python environment
  • azure-search-documents package
  • Azure AI Search service
  • Valid authentication credentials
  • Embedding model for vector queries

Source

  • Spec: SKILL.md
Azure
AI Search
Python SDK
vector search
hybrid search
semantic search
document indexing
skillsets
Create and manage indexes
Upload and manage documents
Run keyword searches
Run vector searches
Azure AI Search endpoint
Search index name
API key or identity credentials
Search results
Facet values
Autocomplete suggestions