Developer shares how to debug failed PDF imports into a Milvus knowledge base

On 2026-11-03 at 09:44, a post titled “Milvus 知识库 PDF 导入失败的异常日志排查思路” appeared on cnblogs, written from the perspective of a developer reviewing a Spring AI Alibaba project. The author frames the troubleshooting path around the RAG pipeline. He notes that in earlier work he had used a call chain to break down the latency of a RAG question-answering request, making it clear where time was spent across Embedding, Milvus retrieval, and model generation. This time he moves the focus one step earlier: for a resource to be used in an answer, it must first be loaded successfully into the knowledge base. When a PDF stalls at the import stage, looking only at the question-answering interface cannot explain why it was never retrieved, so the investigation should be pushed upstream to the exception logs of the import process. The available material contains only this retrospective, with no further developments reported yet.