The service can store vector values in standard numeric formats, such as 32-bit floating point or quantized byte and binary representations, so that embeddings produced by any external embedding model can be loaded without transformation.
Embedding Format Compatibility
CCC.Vector.CP08
Related Threats
| ID | Title | Description |
|---|---|---|
| CCC.Vector.TH05 | Malformed Vectors Cause Failures or Incorrect Results | Vectors submitted with unexpected dimensionality, numeric type, or degenerate values such as NaN, infinity, zero magnitude under cosine similarity, or extreme magnitude may be accepted when validation is incomplete. Indexing or query components fail, or similarity scores are distorted for every query that encounters the vector. Availability of the service and integrity of results are impacted. |