Choosing the right pricing tier for Azure AI Search can be complex. Balancing storage capacity, vector search quotas, and throughput is key to optimizing both performance and cost. This free interactive calculator simplifies the process. Just enter your estimated text index size, vector data requirements, and desired SLA, and we’ll instantly recommend the most cost-effective tier and configuration for your needs. Azure AI Search Tier Calculator

Azure AI Search Tier Calculator

Estimate the best tier for your search service based on your data.

Frequently Asked Questions

How does this calculator work?

The tool calculates the partitions needed for your text index and vector index separately. It then recommends the smallest (most cost-effective) tier that can support the larger of those two requirements.

Why doesn't changing 'Number of Documents' always change the tier?

This happens when your Text Index Size is the primary driver for the tier selection. The number of documents must be high enough for the vector memory to require more partitions than the text index already does. Try lowering the text size to see the impact of the document count more clearly.

What overhead is included for vectors?

The calculation includes a 20% overhead on top of the raw vector data size. This is a general estimate for the HNSW (Hierarchical Navigable Small Worlds) indexing algorithm used by Azure AI Search.

Is this calculator 100% accurate?

This tool provides a reliable estimate based on official Azure guidelines. However, the actual storage for your text index can vary. The best practice is to build a small, representative sample index in Azure to verify your true storage needs.

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