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Code formatting (#2153)

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Dev Khant
2025-01-16 12:33:56 +05:30
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commit a4b085553a
4 changed files with 33 additions and 37 deletions
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docs/features.mdx
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@@ -44,8 +44,6 @@ Mem0's memory implementation for Large Language Models (LLMs) offers several adv
- **Entity Relationships**: Mem0 can understand and relate entities across different interactions, unlike RAG which retrieves information from static documents. This leads to a deeper understanding of context and relationships.
- **Recency, Relevancy, and Decay**: Mem0 uses custom search algorithms to prioritize recent interactions and gradually forgets outdated information, ensuring the memory remains relevant and up-to-date for more accurate responses.
- **Contextual Continuity**: Mem0 retains information across sessions, maintaining continuity in conversations and interactions, which is essential for long-term engagement applications like virtual companions or personalized learning assistants.
- **Adaptive Learning**: Mem0 improves its personalization based on user interactions and feedback, making the memory more accurate and tailored to individual users over time.