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Vector DB Sizing Calculator

Estimate vector database storage requirements.

Vector dimensions (e.g. 1536 for text-embedding-3-small)

Number of vectors stored

Avg metadata per doc (bytes)

Output will appear here…

How to Use This Tool

  1. Fill in Dimensions, Documents, and Metadata Bytes. Each control is labeled; you do not need to paste a JSON blob.
  2. Click "Calculate" to run the tool in your browser.
  3. Read the result below the form and copy it if you need it in another app.

Learn More About Vector DB Sizing Calculator

About Vector DB Sizing Calculator

Calculate vector database storage and memory requirements based on dimensions and document count.

About

Calculate vector database storage and memory requirements based on dimensions and document count.
Calculate vector database storage and memory requirements based on dimensions and document count.
Runs in browser
Yes
No signup required
Yes

Examples

OpenAI ada-002 (1536 dims) with 1M docs.

OpenAI ada-002 (1536 dims) with 1M docs.
Input
1536, 1000000, 200
Output
Dimensions: 1,536
Documents: 1,000,000
Bytes per vector: 6,144 (float32)
Vector storage: 5859.4 MB
Metadata storage: 190.7 MB
Total storage: 5.91 GB
Estimated RAM (with indexes): 8.58 GB
Pinecone pod suggestion: s1.x4

Smaller model (768 dims) with 500K docs.

Smaller model (768 dims) with 500K docs.
Input
768, 500000, 100
Output
Dimensions: 768
Documents: 500,000
Bytes per vector: 3,072 (float32)
Vector storage: 1464.8 MB
Metadata storage: 47.7 MB
Total storage: 1.48 GB
Estimated RAM (with indexes): 2.15 GB
Pinecone pod suggestion: s1.x2

Large embeddings (3072 dims) with 100K docs.

Large embeddings (3072 dims) with 100K docs.
Input
3072, 100000, 512
Output
Dimensions: 3,072
Documents: 100,000
Bytes per vector: 12,288 (float32)
Vector storage: 1171.9 MB
Metadata storage: 48.8 MB
Total storage: 1.19 GB
Estimated RAM (with indexes): 1.72 GB
Pinecone pod suggestion: s1.x2

Use Cases

  • Check vector db sizing calculator values while you draft a page, spreadsheet, or config.
  • Fill Dimensions, Documents, Metadata Bytes and compare the result to a second source.
  • Keep sensitive inputs on-device — this page runs the calculation in the browser.

Frequently Asked Questions

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