SKILL

azure-search-documents-ts

Build search applications using Azure AI Search SDK for JavaScript (@azure/search-documents). Use when creating/managing indexes, implementing vector/hybrid search, semantic ranking, or building agentic retrieval with knowledge bases.

Target: Search & knowledge management. Automatically collected · unverified.

Excerpt from the author’s documentation

Extracted from a fixed version of SKILL.md in its original language. This is the author’s documentation; installation, compatibility and runtime results have not been verified by this site.

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Topics in the source

  • Azure AI Search SDK for TypeScript
  • Installation
  • Environment Variables
  • Authentication
  • Core Workflow
  • Create Index with Vector Field
  • Index Documents
  • Full-Text Search

Build search applications with vector, hybrid, and semantic search capabilities. 1. Use hybrid search - Combine vector + text for best results 2. Enable semantic ranking - Improves relevance for natural language queries 3. Batch document uploads - Use uploadDocuments with arrays, not single docs 4. Use filters for security - Implement document-level security with filters 5. Index incrementally - Use mergeOrUploadDocuments for updates 6. Monitor query performance - Use includeTotalCount: true sparingly in production

Source repository
microsoft/skills
Source file
.github/plugins/azure-sdk-typescript/skills/azure-search-documents-ts/SKILL.md
Fixed revision
18e05b845d43e869b5701d796abce6e9a49e57db
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Instructions for your AI tool

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Author: Microsoft Skills · original repository metadata. Documentation review: Not reviewed. Last source check: 2026-11-10T00:00:24.574Z.

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License and attribution

MIT. Third-party content and copyright remain with their authors. Refer to the original license and terms.

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