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.
Read the original English text
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
Requirements
- Only the author’s Skill metadata is included. Read the full instructions to check dependencies, licensing and conditions of use.
A small first task
先阅读原作者说明,再决定是否在自己的 AI 工具中使用。
Instructions for your AI tool
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- Codex: resource-specific guide not available yet
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Sources and evidence
This record was collected automatically. Its documentation, suitability and runtime behavior have not been manually verified.
Author: Microsoft Skills · original repository metadata. Documentation review: Not reviewed. Last source check: 2026-11-10T00:00:24.574Z.
Categories are inferred from names, descriptions and paths. They do not establish compatibility.
License and attribution
MIT. Third-party content and copyright remain with their authors. Refer to the original license and terms.
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