Pattern preview · 12 of 4,089 sample rules shown · site-specific intelligence stays private
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storage_serialization
infrastructure-storage-serializatio-storagecontext-persist-fails-with-typeerror-object-46ee27c3
IFStorageContext.persist fails with TypeError: Object of type float32 is not JSON serializable when documents contain embeddings (e.g., from SentenceTransformers, InstructorEmbedding) that are numpy arrays.
THENConvert numpy arrays and other non-JSON-serializable types to native Python types before creating Document objects or before calling persist. For numpy arrays, call .tolist() on the embedding; for scalar numpy types, call .item(). In embedding models like InstructorEmbedding, modify the _embed method to convert each embedding to a Python list before returning.
Tier 170%
storage_serialization
content-storage-serializatio-storagecontext-persist-fails-with-typeerror-object-4049565d
IFStorageContext.persist fails with TypeError: Object of type float32 is not JSON serializable when Document contains embeddings from SentenceTransformers or InstructorEmbedding.
THENConvert numpy float32 embeddings to native Python floats before passing to Document constructor, e.g., by calling embedding.tolist() or casting to list. Alternatively, use a custom JSON encoder that handles numpy types. This ensures the embedding data is JSON-serializable for persistence.
Tier 170%
storage_serialization
content-storage-serializatio-storagecontext-persist-fails-with-typeerror-object-397b222d
IFStorageContext.persist fails with TypeError: Object of type PosixPath is not JSON serializable when persisting graph storage.
THENConvert any PosixPath objects to strings using str() before storing them in the graph or persist call. This typically occurs when file paths are stored as metadata. Ensure all path values are plain strings before writing to JSON.
Tier 170%
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