Unverified50% confidenceFactExact time
A complete RAG pipeline may require the simultaneous deployment of 3 to 4 different model services, including an embedding model, a reranking model, and a generation model.
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9/11/2026
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UnverifiedEmbedding models use a bi-encoder architecture and reranking models use a cross-encoder architecture, together forming a two-stage 'coarse retrieval + fine ranking' architecture for RAG systems.72% similarUnverifiedLarge model application development can be divided into three progressive levels: prompt engineering, RAG retrieval-augmented generation, and model fine-tuning.70% similarUnverifiedModel Merging can fuse capability characteristics of different versions without retraining by performing linear interpolation or spherical interpolation (SLERP) on the weights of different versions in parameter space.65% similarUnverifiedCommon methods for model merging include linear interpolation, SLERP (Spherical Linear Interpolation), TIES-Merging, and DARE65% similar
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