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azure-search-documents-py

Azure AI Search SDK for Python. Use for vector search, hybrid search, semantic ranking, indexing, and skillsets.

Published by sickn33 ↗sickn33/agentic-awesome-skills

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azure-search-documents-py

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Use azure-search-documents-py to implement a Python hybrid Azure AI Search query flow for [search service endpoint and index name], using [authentication approach] and [query fields, embedding dimensions, and relevance requirements], returning ranked results with semantic captions where configured.

Required inputs

  • [search service endpoint and index name]
  • [authentication approach]
  • [query fields, embedding dimensions, and relevance requirements]

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SKILL.md

name: azure-search-documents-pydescription: Azure AI Search SDK for Python. Use for vector search, hybrid search, semantic ranking, indexing, and skillsets.metadata:   aas-risk: critical  aas-source: community  aas-date-added: '2026-02-27'

Azure AI Search SDK for Python

Full-text, vector, and hybrid search with AI enrichment capabilities.

Detailed Guide

Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.