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azure-search-documents-py - Build Azure AI Search solutions in Python

Use the Azure AI Search Python SDK for indexing, keyword, vector, hybrid, semantic, and AI-enriched search.

Tags

Updated: 2026-09-28

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Create search indexes
  • Upload and manage documents
  • Run keyword searches
  • Run vector searches
  • Combine hybrid queries
  • Apply semantic ranking
  • Filter and facet results
  • Configure autocomplete and suggestions
  • Manage indexers and skillsets
  • Configure data sources

Inputs

  • Azure Search endpoint
  • Index name
  • Authentication credentials
  • Search index schema
  • Documents and queries
  • Query embeddings
  • Data source configuration
  • Skillset configuration

Outputs

  • Search result documents
  • Search scores and captions
  • Facet values
  • Autocomplete and suggestion results
  • Created or updated indexes
  • Uploaded or modified documents
  • Configured indexers and skillsets

Requirements

  • Python environment
  • azure-search-documents package
  • azure-identity package for Entra ID
  • Azure AI Search service
  • Search service credentials
  • Required service permissions

Source

  • Spec: SKILL.md

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Azure AI Search
Python SDK
vector search
hybrid search
semantic ranking
document indexing
AI enrichment
Create search indexes
Upload and manage documents
Run keyword searches
Run vector searches
Azure Search endpoint
Index name
Authentication credentials
Search result documents
Search scores and captions
Facet values