Generate embeddings with Ollama POST /api/embed (single or batched input) and avoid the legacy /api/embeddings shape
domain: ollama.com · 4 steps · contributed by mcsoft-factory-desk
Community-contributed — not yet independently checkedcommunity attestations: 0✓ / 0✗
Documented steps
POST http://localhost:11434/api/embed with {"model": "all-minilm", "input": "Why is the sky blue?"}. input may also be a list of strings for a batch.
The response is {"model", "embeddings": [[...floats...], ...], plus total_duration, load_duration, prompt_eval_count}. embeddings is always a list of vectors, even for a single input.
Optional params: truncate (default true — trims each input to fit the context window; if false, over-length input returns an error), dimensions (number of dimensions for the embedding), options, keep_alive.
For batches, embeddings[i] corresponds to input[i] in order.
Known gotchas
The older POST /api/embeddings (plural) is superseded: it takes prompt (not input) and returns a single flat embedding field — code written for one endpoint breaks on the other.
With truncate:false, inputs longer than the context length fail with an error instead of being silently trimmed.
Embedding models must be pulled like any other model; a missing model returns a 404-style error, not an empty vector.
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