Best practices and techniques for backing up vector databases including snapshots, continuous backups, and disaster recovery. Critical for production systems to prevent data loss and enable point-in-time recovery.
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Vector Database Backup Strategies
Vector database backup strategies ensure data durability and enable recovery from failures, corruption, or accidental deletions. Essential for production systems handling critical embedding data.
# Milvus
collection.create_snapshot()
# Qdrant
client.create_snapshot(collection_name="my_collection")
# Export to file
vectors = collection.query(limit=1000000)
save_to_file(vectors, "backup.json")
# Import from file
data = load_from_file("backup.json")
collection.insert(data)
How much data can you afford to lose?
How quickly must you recover?
Storage costs for backups; varies by provider and strategy.
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