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Support Matryoshka Representation Learning by passing the dimensions parameter to Ollama's /api/embed endpoint. When MNEMON_EMBED_DIMENSIONS is set (e.g., 256), Ollama truncates and re-normalizes the embedding vector, giving faster similarity search with minimal quality loss on MRL-trained models like nomic-embed-text. Backward compatible: when unset, behavior is identical to before.
Add MNEMON_EMBED_DIMENSIONS for Matryoshka dimension truncation
Add deployment environment configuration
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make testandgo test ./...)[Unreleased]if user-facing