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switch back to os models
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12
morphik.toml
12
morphik.toml
@ -49,10 +49,10 @@ ollama_embedding_docker_docker = { model_name = "ollama/nomic-embed-text", api_b
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#### Component configurations ####
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#### Component configurations ####
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[agent]
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[agent]
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model = "claude_sonnet" # Model for the agent logic
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model = "ollama_llama" # Model for the agent logic
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[completion]
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[completion]
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model = "openai_gpt4o_mini" #"openai_gpt4o" # Reference to a key in registered_models
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model = "ollama_llama" #"openai_gpt4o" # Reference to a key in registered_models
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default_max_tokens = "1000"
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default_max_tokens = "1000"
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default_temperature = 0.5
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default_temperature = 0.5
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@ -80,10 +80,10 @@ use_contextual_chunking = false
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contextual_chunking_model = "ollama_llama" # Reference to a key in registered_models
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contextual_chunking_model = "ollama_llama" # Reference to a key in registered_models
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[document_analysis]
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[document_analysis]
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model = "openai_gpt4o" # Reference to a key in registered_models
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model = "ollama_llama" # Reference to a key in registered_models
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[parser.vision]
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[parser.vision]
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model = "openai_gpt4o" # Reference to a key in registered_models
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model = "ollama_llama" # Reference to a key in registered_models
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frame_sample_rate = -1 # Set to -1 to disable frame captioning
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frame_sample_rate = -1 # Set to -1 to disable frame captioning
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[reranker]
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[reranker]
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@ -108,7 +108,7 @@ storage_path = "./storage"
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provider = "pgvector"
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provider = "pgvector"
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[rules]
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[rules]
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model = "openai_gpt4o"
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model = "ollama_llama"
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batch_size = 4096
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batch_size = 4096
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[morphik]
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[morphik]
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@ -121,7 +121,7 @@ host = "localhost" # use "redis" for docker
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port = 6379
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port = 6379
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[graph]
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[graph]
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model = "openai_gpt4o"
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model = "ollama_llama"
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enable_entity_resolution = true
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enable_entity_resolution = true
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[telemetry]
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[telemetry]
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