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nickprock authored Nov 30, 2023
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Cheshire Cat ReRanker apply a rearrangement at each memory with different criteria:
* the [*episodic memory*](https://cheshire-cat-ai.github.io/docs/conceptual/memory/episodic_memory/) is reordered according to a temporal criteria, from the newest to the oldest.
* the [*declarative memory*](https://cheshire-cat-ai.github.io/docs/conceptual/memory/declarative_memory/) is reordered according the [**lost in the middle** paper](https://arxiv.org/abs/2307.03172) method
* the [*declarative memory*](https://cheshire-cat-ai.github.io/docs/conceptual/memory/declarative_memory/) is reordered according to the [**lost in the middle** paper](https://arxiv.org/abs/2307.03172) method
* the [*procedural memory*](https://cheshire-cat-ai.github.io/docs/conceptual/memory/procedural_memory/) isn't reordered but filtered using a threshold, the default value is 0.5 but you can set it.

The ReRanker can be enabled and disabled for each memory independently using the "Settings".
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> **Important**
> ReRankers (in particular Lost In The Middle) are very useful if you get at least more than 10 documents returned from the memories.
> Before using it download and enable the [C.A.T. plugin](https://github.com/Furrmidable-Crew/cat_advanced_tools) from the Plugins store, [follow the instructions](https://github.com/Furrmidable-Crew/cat_advanced_tools#usage) to increase the k parameter of the memories.
> Before using it download and enable the [C.A.T. plugin](https://github.com/Furrmidable-Crew/cat_advanced_tools) from the Plugins store, [follow the instructions](https://github.com/Furrmidable-Crew/cat_advanced_tools#usage) to increase the k parameter of the memories.

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