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@ -41,7 +41,7 @@ ENV WHISPER_MODEL_DIR="/app/backend/data/cache/whisper/models"
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# for better persormance and multilangauge support use "intfloat/multilingual-e5-large" (~2.5GB) or "intfloat/multilingual-e5-base" (~1.5GB)
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# for better persormance and multilangauge support use "intfloat/multilingual-e5-large" (~2.5GB) or "intfloat/multilingual-e5-base" (~1.5GB)
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# IMPORTANT: If you change the default model (all-MiniLM-L6-v2) and vice versa, you aren't able to use RAG Chat with your previous documents loaded in the WebUI! You need to re-embed them.
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# IMPORTANT: If you change the default model (all-MiniLM-L6-v2) and vice versa, you aren't able to use RAG Chat with your previous documents loaded in the WebUI! You need to re-embed them.
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ENV RAG_EMBEDDING_MODEL="all-MiniLM-L6-v2"
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ENV RAG_EMBEDDING_MODEL="all-MiniLM-L6-v2"
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# device type for whisper tts and ebbeding models - "cpu" (default), "cuda" (nvidia gpu and CUDA required) or "mps" (apple silicon) - choosing this right can lead to better performance
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# device type for whisper tts and embbeding models - "cpu" (default), "cuda" (nvidia gpu and CUDA required) or "mps" (apple silicon) - choosing this right can lead to better performance
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ENV RAG_EMBEDDING_MODEL_DEVICE_TYPE="cpu"
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ENV RAG_EMBEDDING_MODEL_DEVICE_TYPE="cpu"
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ENV RAG_EMBEDDING_MODEL_DIR="/app/backend/data/cache/embedding/models"
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ENV RAG_EMBEDDING_MODEL_DIR="/app/backend/data/cache/embedding/models"
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ENV SENTENCE_TRANSFORMERS_HOME $RAG_EMBEDDING_MODEL_DIR
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ENV SENTENCE_TRANSFORMERS_HOME $RAG_EMBEDDING_MODEL_DIR
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