AssistRAG separates memory from answer generation
Published on November 30, 2024, the work on AssistRAG describes a way to manage memory and external knowledge without retraining the main generation model.
Source: AssistRAG separa memória e retrieval da geração de respostas (x.com). Text prepared with AI from this source.
What happened and what to do
The work on AssistRAG, published on November 30, 2024, proposes using a trainable language model to manage memory and external knowledge while keeping the main answer-generation model frozen. Its training combines Curriculum Assistant Learning and Reinforced Preference Optimization. The proposal aims to add these capabilities without retraining the main model.
A company can assess this separation for an application that needs to retain context or consult external sources. A project could map the data and access requirements, implement the memory and retrieval layer, connect it to generation through an API, and monitor answer quality and data use.
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Wendelmaques can diagnose the opportunity and risks of memory and retrieval in your case, define a suitable architecture, and deliver a scoped implementation with monitoring and operation included in the scope.
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