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Vector has too many dimensions to store

Type URI: https://modeled-information-format.github.io/mif-rs/references/errors/dimension-too-large/v1 HTTP status: 400 Exit code: 2 Emitted by: mif-store (StoreError::DimensionTooLarge)

vector has {len} dimensions, which cannot be represented in the embeddings table

VectorStore::upsert’s vector length could not be represented as an i64 for the dim column — practically unreachable with real embedding models (mif-embed always produces 384-dimensional vectors), but defended against directly.

Unspecified — supply a shorter embedding vector.