Unverified50% confidenceSolutionExact time
For production-grade RAG, it is recommended to split PDF parsing (offline, heavy) and retrieval-based Q&A (online, light) into two separate pipelines.
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50%
Confidence
Long-term
Relevance
9/28/2026
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VerifiedThe RAG workflow is divided into offline and online phases: offline, documents are chunked and converted into vectors stored in a vector database; online, questions are converted into vectors and the most similar text segments are retrieved via ANN algorithms and concatenated into the context.69% similarUnverifiedDify's RAG pipeline supports vectorizing enterprise internal documents (PDF, Word, databases, etc.) and storing them in a knowledge base for model retrieval.68% similarUnverified在RAG链路中PDF解析是最上游环节，解析输出的文本质量直接决定向量化、检索和生成三个下游环节的天花板67% similarUnverifiedBundle packages are more suitable for readers who already have some foundation and wish to expand into multiple subfields or use them as a reference library.63% similar
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