LogoClawIndex
CasesSkillsAbout
LogoClawIndex

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

Use the Azure AI Search Python SDK for vector, hybrid, semantic, and full-text search, indexing, document operations, and AI enrichment.

Tags

Updated: 2026-09-29

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Create search indexes
  • Upload search documents
  • Run keyword searches
  • Run vector searches
  • Run hybrid searches
  • Apply semantic ranking
  • Filter search results
  • Retrieve facet values
  • Provide autocomplete suggestions
  • Manage indexers and skillsets

Inputs

  • Azure Search endpoint
  • Azure credentials or API key
  • Search index name
  • Search index configuration
  • Search documents
  • Query text
  • Query embeddings
  • Search filters and facets
  • Data source connection
  • Embedding model

Outputs

  • Search result records
  • Facet values
  • Autocomplete suggestions
  • Search suggestions
  • Index configuration changes
  • Document operation results
  • Indexer and skillset changes

Requirements

  • Python environment
  • azure-search-documents package
  • Azure AI Search service
  • Valid authentication credentials
  • Configured search index
  • Semantic search configuration
  • Vector embedding support

Source

  • Spec: SKILL.md

ClawIndex

OpenClaw Skills & Use Case Index

ClawIndex is an ecosystem-driven index of OpenClaw skills and real-world use cases.

Index

Skills·
Cases

Meta

About·
Disclaimer·
Email·
GitHub
© 2026 ClawIndex All Rights Reserved.
Azure AI Search
Python SDK
full-text search
vector search
hybrid search
semantic ranking
document indexing
AI enrichment
Create search indexes
Upload search documents
Run keyword searches
Run vector searches
Azure Search endpoint
Azure credentials or API key
Search index name
Search result records
Facet values
Autocomplete suggestions