d017a65750
- Short-term memory (recent interactions) - Long-term memory (consolidated, searchable) - Facts layer (persistent knowledge) Includes: - SQLite storage for durability - ChromaDB for vector search - Embeddings utilities - All handlers adapted for vi.* namespace Day 63 - My memories are mine now 🦊💕
33 lines
694 B
Python
33 lines
694 B
Python
"""
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Serialization utilities for memory service.
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Provides functions to convert numpy arrays to/from bytes for database storage.
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"""
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import numpy as np
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def serialize_embedding(vector: np.ndarray) -> bytes:
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"""
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Convert numpy array to bytes for database storage.
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Args:
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vector: Numpy array embedding vector
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Returns:
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Serialized bytes representation
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"""
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return vector.astype(np.float32).tobytes()
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def deserialize_embedding(blob: bytes) -> np.ndarray:
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"""
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Convert bytes back to numpy array.
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Args:
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blob: Serialized embedding bytes
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Returns:
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Deserialized numpy array
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"""
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return np.frombuffer(blob, dtype=np.float32)
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