Unverified50% confidenceFactExact time
Embedding 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.
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9/1/2026
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Unverified三种RAG路线并非互斥，实际工程中可采用混合架构：用向量检索做初步召回，用图谱结构做关系推理，用编译层做知识管理和溯源73% similarUnverifiedFine-tuning is suitable for teaching a model a specific output style or domain tone, while RAG achieves immediate-update-ready results through an external knowledge base, and the two are often used in combination in engineering.73% similarUnverifiedUnified multimodal models typically adopt a structure of "modality encoder + fusion layer + language model backbone".72% similarUnverifiedLarge model application development can be divided into three progressive levels: prompt engineering, RAG retrieval-augmented generation, and model fine-tuning.67% similar
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