01Deep dive
Meaning and practical implications
Changing an embedding model may require rebuilding an index. Evaluate retrieval quality on your corpus; vector dimension or API price alone does not establish relevance quality.
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Embedding Inference
Embeddings are vector representations of inputs used in tasks such as similarity search, retrieval, and clustering. Embedding inference computes those representations using a model.
FAQFrequently asked questions
Common questions
o10Set the envelope. o10 holds it.
See what you're overpaying.
Paste a week of traffic. Get the number that books the audit.
See what you're overpaying →verified savings methodology · State of Inference Spend 2026