# Azure

> Browse 3 items tagged with Azure.

## Items

- [Azure Cache for Redis Vector Search](https://vectordb.ever.works/items/azure-cache-redis-vector) — Vector search plugin for Azure Cache for Redis via RediSearch module, supporting HNSW/Flat indexes, hybrid lexical+vector with BM25 fusion, metadata filtering. Suited for enterprise semantic caching, real-time RAG, and recommendations. Integrated caching layer provides sub-ms latency vs standalone vector DBs like Weaviate.
- [Azure AI Search](https://vectordb.ever.works/items/azure-ai-search) — Azure AI Search delivers managed vector storage and semantic search for AI applications on Microsoft Azure. It features serverless scaling, hybrid keyword-vector search, semantic reranking, and integrations with Azure OpenAI. Suited for RAG pipelines and enterprise AI, it provides built-in AI enrichment and security advantages over self-hosted databases like Milvus.
- [Azure Cosmos DB](https://vectordb.ever.works/items/azure-cosmos-db) — A vector database solution provided by Microsoft Azure.

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_Canonical page: https://vectordb.ever.works/tags/azure_
