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* Unify pgvector and postgres connection settings * Remove local changes * Update file pgvector->postgres * postgresql should be postgres * Adding pipeline ingestion mode * disable hugging face parallelism. Continue on file to doc transform failure * Semaphore to limit docq async workers. ETA reporting
27 lines
612 B
YAML
27 lines
612 B
YAML
# poetry install --extras "ui llms-llama-cpp vector-stores-qdrant embeddings-huggingface"
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server:
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env_name: ${APP_ENV:local}
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llm:
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mode: llamacpp
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# Should be matching the selected model
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max_new_tokens: 512
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context_window: 3900
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tokenizer: mistralai/Mistral-7B-Instruct-v0.2
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llamacpp:
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prompt_style: "mistral"
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llm_hf_repo_id: TheBloke/Mistral-7B-Instruct-v0.2-GGUF
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llm_hf_model_file: mistral-7b-instruct-v0.2.Q4_K_M.gguf
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embedding:
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mode: huggingface
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huggingface:
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embedding_hf_model_name: BAAI/bge-small-en-v1.5
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vectorstore:
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database: qdrant
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qdrant:
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path: local_data/private_gpt/qdrant |