Worked Walkthrough: Estimate Vector Storage

Estimate raw vector storage for 18 million document chunks embedded at 1536 dimensions with 4 bytes per dimension. Raw vector bytes = vector_count x dimensions x bytes_per_dimension. The common trap is using prototype cost as the forecast. Prototype spend hides vector count growth, dimensionality, metadata, index overhead, replicas, backups, and query throughput. Count vectors Use the roadmap count: 18,000,000 vectors. Chunk count, not document count, drives vector storage. A 30,000-document corpus can become millions of vectors after chunking. Calculate bytes per vector 1536 dimensions x 4 bytes = 6,144 bytes per vector. For float32 embeddings, each dimension consumes 4 bytes…

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