21 lines
416 B
Plaintext
21 lines
416 B
Plaintext
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context engineering, - only include vector hits that are x distance?
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AI in the middle - make the ai generate the string for vector search
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instruction tuned embeddings?
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entity chunking & re-ranking
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bredth vs depth = separate workflows
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examples into prompts & better prompts
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common model attributes - temp & top-k
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QA specific embedding models?
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Evaluation metrics, how good is it doing?
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