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Updated settings files to include RAG settings
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@ -102,14 +102,9 @@ class LLMSettings(BaseModel):
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0.1,
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description="The temperature of the model. Increasing the temperature will make the model answer more creatively. A value of 0.1 would be more factual.",
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)
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similarity_value: float = Field(
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None,
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description="If set, any documents retrieved from the RAG must meet a certain score. Acceptable values are between 0 and 1.",
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)
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class RagSettings(BaseModel):
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similarity_value: float = Field(
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similarity_value: float | None = Field(
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None,
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description="If set, any documents retrieved from the RAG must meet a certain score. Acceptable values are between 0 and 1.",
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)
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@ -23,4 +23,7 @@ vectorstore:
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database: qdrant
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qdrant:
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path: local_data/private_gpt/qdrant
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path: local_data/private_gpt/qdrant
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rag:
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similarity_value: # Leave empty to not use. Otherwise set between 0 and 1. This value checks for how well sources match your context.
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@ -41,10 +41,8 @@ llm:
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context_window: 3900
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temperature: 0.1 # The temperature of the model. Increasing the temperature will make the model answer more creatively. A value of 0.1 would be more factual. (Default: 0.1)
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#
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# The rag settings are optional. Only include if you know what you are doing.
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#rag:
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#similarity_value: 0.4 #Optional - If set, any documents retrieved from the RAG must meet a certain score. Acceptable values are between 0 and 1.
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rag:
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similarity_value: # Leave empty to not use. Otherwise set between 0 and 1. This value checks for how well sources match your context.
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llamacpp:
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prompt_style: "mistral"
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