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| # The Llama Cloud API key. | |
| LLAMA_CLOUD_API_KEY= | |
| # The provider for the AI models to use. | |
| MODEL_PROVIDER=openai | |
| # The name of LLM model to use. | |
| MODEL=gpt-3.5-turbo | |
| # Name of the embedding model to use. | |
| EMBEDDING_MODEL=text-embedding-3-large | |
| # Dimension of the embedding model to use. | |
| EMBEDDING_DIM=1024 | |
| # The OpenAI API key to use. | |
| OPENAI_API_KEY= | |
| # Temperature for sampling from the model. | |
| # LLM_TEMPERATURE= | |
| # Maximum number of tokens to generate. | |
| # LLM_MAX_TOKENS= | |
| # The number of similar embeddings to return when retrieving documents. | |
| TOP_K=3 | |
| # Custom system prompt. | |
| # Example: | |
| # SYSTEM_PROMPT="You are a helpful assistant who helps users with their questions." | |
| # SYSTEM_PROMPT= | |
| # Configuration for Pinecone vector store | |
| # The Pinecone API key. | |
| # PINECONE_API_KEY= | |
| # PINECONE_ENVIRONMENT= | |
| # PINECONE_INDEX_NAME= | |
| # The address to start the backend app. | |
| APP_HOST=0.0.0.0 | |
| # The port to start the backend app. | |
| APP_PORT=8000 | |