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19 lines
788 B
YAML
19 lines
788 B
YAML
# ----- PINECONE CONFIG -----
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PINECONE_API_KEY: "<your Pinecone API key>"
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PINECONE_INDEX: "<your Pinecone Index name>" # dimensions: 1536, metric: cosine similarity
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PINECONE_ENV: "<your Pinecone env e.g.us-west1-gcp>"
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# ----- SERVER PORT ----
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SERVER_PORT: "8080"
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# ---- OPENAI CONFIG -----
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EMBEDDINGS_MODEL: "text-embedding-ada-002"
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GENERATIVE_MODEL: "gpt-3.5-turbo" # use gpt-4 for better results
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EMBEDDING_DIMENSIONS: 1536
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TEXT_EMBEDDING_CHUNK_SIZE: 200
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# This is the minimum cosine similarity score that a file must have with the search query to be considered relevant
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# This is an arbitrary value, and you should vary/ remove this depending on the diversity of your dataset
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COSINE_SIM_THRESHOLD: 0.7
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MAX_TEXTS_TO_EMBED_BATCH_SIZE: 100
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MAX_PINECONE_VECTORS_TO_UPSERT_PATCH_SIZE: 100
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