Unverified50% confidenceSolutionExact time
将图表预处理为结构化文本是业界处理多模态文档的最佳实践，文本块在RAG架构中具有更高的向量化质量和检索相关度
1
Sources
50%
Confidence
Long-term
Relevance
7/16/2026
First Seen
Sources
Related Claims
Unverified将文本块存储在知识图谱中后，可先检索相关文本块再沿图的关系遍历找到其他相关文本块，为大模型提供更完整上下文68% similarVerifiedModern RAG implementations widely incorporate dense retrieval (Dense Retrieval), using embedding models to transform text into high-dimensional vectors and performing matching via semantic similarity.67% similarUnverifiedThe knowledge graph approach outperforms simple file indexing in semantic depth, outperforms full code embedding in structural quality, and outperforms hand-written project documentation in ease of updates.67% similarUnverified将多模态文档预处理时把表格和图片转化为文字描述，能提升LLM推理一致性和后续测试点提取准确性67% similarUnverifiedMarkdown格式因标题层级提供语义边界、纯文本无格式噪声、双向链接提供显式语义图谱，成为RAG知识库首选格式67% similar
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