Update Docs (#3520)
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@@ -9,24 +9,19 @@ iconType: "solid"
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Memory customization offers several key benefits:
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• **Focused Storage**: Store only relevant information for a streamlined system.
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• **Improved Accuracy**: Curate memories for more accurate and relevant retrieval.
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• **Enhanced Privacy**: Exclude sensitive information for better privacy control.
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• **Resource Efficiency**: Optimize storage and processing by keeping only pertinent data.
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• **Personalization**: Tailor the experience to individual user preferences.
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• **Contextual Relevance**: Improve effectiveness in specialized domains or applications.
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- **Focused Storage**: Store only relevant information for a streamlined system.
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- **Improved Accuracy**: Curate memories for more accurate and relevant retrieval.
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- **Enhanced Privacy**: Exclude sensitive information for better privacy control.
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- **Resource Efficiency**: Optimize storage and processing by keeping only pertinent data.
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- **Personalization**: Tailor the experience to individual user preferences.
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- **Contextual Relevance**: Improve effectiveness in specialized domains or applications.
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These benefits allow users to fine-tune their memory systems, creating a more powerful and personalized AI assistant experience.
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## Memory Inclusion
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Users can define specific kinds of memories to store. This feature enhances memory management by focusing on relevant information, resulting in a more efficient and personalized experience.
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Here’s how you can do it:
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```python
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import os
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@@ -69,7 +64,6 @@ User loves playing baseball with friends.
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## Memory Exclusion
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In addition to specifying what to include, users can also define exclusion rules for their memory management. This feature allows for fine-tuning the memory system by instructing it to omit certain types of information.
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Here’s how you can do it:
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```python
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from mem0 import MemoryClient
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