[D] Is there any research for RAG where vectors that are queried in succession become associated for future queries, even if their embedding values are different?

A common situation in IRL problems with long time horizons is the need to perform multiple very different subtasks. For example, imagine a model trained to remember a poem and then spell it out in blocks in a game of minecraft. The data for the poem itself and the appropriate minecraft functions probably have very different embeddings, but in practice it would probably be useful to ensure the memories for how to use minecraft functions are queried when that poem …

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