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AI Innovations and Insights 33: PIKE-RAG and DeepRAG

  • Traditional RAG is like buying a DIY furniture kit, while PIKE-RAG is like hiring an interior designer.
  • PIKE-RAG consists of several key components: file parsing, knowledge extraction, knowledge storage, knowledge retrieval, knowledge organization, task decomposition and coordination, and knowledge-centric reasoning.
  • PIKE-RAG is a well-researched and detailed open-source project.
  • File parsing in PIKE-RAG involves layout analysis, preservation of multimodal elements, and the use of vision-language models.

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