long-context memory #27
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Drago-03
Mr-Robot-oneorzero
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How does Neural Nexus handle long-context memory without degrading model performance? |
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Answered by
Drago-03
May 26, 2025
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Neural Nexus implements a hybrid memory strategy combining retrieval-augmented generation with windowed vector attention. Instead of feeding the entire history, we dynamically retrieve the most semantically relevant chunks using cosine similarity and a memory bank with decay factors to prioritize recency + relevance. This balances context preservation with inference speed. |
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Neural Nexus implements a hybrid memory strategy combining retrieval-augmented generation with windowed vector attention. Instead of feeding the entire history, we dynamically retrieve the most semantically relevant chunks using cosine similarity and a memory bank with decay factors to prioritize recency + relevance. This balances context preservation with inference speed.