skills.rest
MicrosoftDocs
MicrosoftDocsOFFICIAL
Explore all skills by this author →
Website𝕏@docsmsftGitHub

azure-horizondb

Provides expert guidance for Azure HorizonDB development, configuration, security, and AI integrations.

730|117|Updated Jan 27, 2026
Search Tags:#Azure#PGVector#postgreSQL#database configuration#rAG#Vector search#horizondb
One-click install
npx skills add https://github.com/MicrosoftDocs/Agent-Skills --skill azure-horizondb
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: azure-horizondb
Source: https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-horizondb
Command: npx skills add https://github.com/MicrosoftDocs/Agent-Skills --skill azure-horizondb

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Developers working with Azure HorizonDB often struggle to find accurate, up-to-date guidance on topics like pgvector tuning, TLS configuration, extension management, and AI integrations scattered across documentation. This Skill consolidates that expert knowledge into a single, categorized reference that an AI agent can query on demand.

Core Features & Use Cases

  • Categorized Knowledge Index: Covers troubleshooting, best practices, decision making, architecture patterns, limits & quotas, security, configuration, integrations, and deployment for HorizonDB.
  • Live Documentation Fetching: Retrieves the latest Microsoft Learn content via mcp_microsoftdocs or fetch_webpage, ensuring guidance stays current.
  • AI & Vector Search Guidance: Includes pgvector optimization, DiskANN indexing, azure_ai SQL functions, LangChain vector store integration, Apache AGE graphs, and hybrid BM25+vector search patterns.
  • Use Case: When tuning a pgvector index for a RAG application on HorizonDB, the agent locates the vector index selection guide, fetches the latest documentation, and recommends the optimal index type for your data and query patterns.

Quick Start

Ask the agent to help you configure pgvector and choose the right vector index for your Azure HorizonDB cluster.

Frequently Asked Questions about azure-horizondb

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I optimize pgvector performance in Azure HorizonDB?▼

Use the best practices category to locate the pgvector optimization guidance, then fetch the current Microsoft Learn documentation. It covers index selection, tuning parameters, and data preparation for AI workloads on HorizonDB.

How to choose between vector, full-text, and hybrid search in HorizonDB?▼

The decision making category links to a search overview guide comparing vector, full-text, and hybrid approaches. It also includes a vector index selection guide to match index types like DiskANN to your data and query patterns.

Can I use HorizonDB as a LangChain vector store?▼

Yes, the integrations category includes guidance for using HorizonDB as a LangChain vector store. It also covers azure_ai SQL functions, embedding generation with create_embeddings(), and semantic reranking with azure_ai.rank().

Why do TLS connections fail after HorizonDB certificate rotation?▼

TLS failures after certificate rotation typically occur because clients still trust the old root certificate. The troubleshooting category links to guidance on resolving these failures and updating trusted root certificates for HorizonDB clients.

Does this skill work for Azure Cosmos DB or Azure SQL Database?▼

No, this skill is scoped specifically to Azure HorizonDB. For Cosmos DB use the azure-cosmos-db skill, for Azure SQL Database use azure-sql-database, and for Table Storage use azure-table-storage.

What tools are required to fetch HorizonDB documentation?▼

The skill requires network access and prefers the mcp_microsoftdocs server with the microsoft_docs_fetch tool. If unavailable, it falls back to fetch_webpage with Markdown accept headers to retrieve Microsoft Learn content.

Related Skills

Explore More Software Engineering Skills→
DobricLilujunDobricLilujun

azure-resource-manager-mysql-dotnet

Provision and manage Azure MySQL Flexible Server resources using the .NET SDK.

Community
Advanced
kevinsweetkevinsweet

vector-hybrid-search

Plan and implement end-to-end vector and hybrid search in Elasticsearch.

Community
Advanced
Impertio-StudioImpertio-Studio
2

mariadb-errors-slow-queries

Diagnose and optimize slow MariaDB queries using logs, EXPLAIN, and performance schema.

Official
Advanced
altrupetsaltrupets

Microsoft Azure Backend

Deploy and manage Azure backend infrastructure with AKS, Functions, and Cosmos DB.

Official
Advanced