Unverified50% confidenceFactExact time
When creating a local knowledge base, an embedding model must be selected, as the embedding model determines how documents are parsed into vectors.
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Long-term
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10/7/2026
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Related Claims
UnverifiedLocal models are the infrastructure that developers use for research, fine-tuning, and experimentation.74% similarUnverifiedThere is a positive correlation between a model's calibration capability and model scale; larger models can more finely distinguish between states of knowledge.72% similarUnverifiedIt is recommended to use Tongyi Qianwen's Embedding model in Dify for RAG functions such as knowledge base retrieval.71% similarUnverifiedHaving model weights means being able to run the model locally, fine-tune it, or inspect its internal structure layer by layer.70% similarUnverifiedEmbedding models convert queries and candidate documents into vector representations, thereby measuring relevance in a semantic space.70% similar
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