From PDFs to Answers: Building a RAG Knowledge Base with PaddleOCR, Milvus, and ERNIE

This post details the integration of PaddleOCR for document parsing and ERNIE for answer generation, alongside Milvus for vector storage and hybrid search, to build a RAG-based knowledge base. It elaborates on the data extraction layer using PP-StructureV3, text chunking with sliding window overlap, storing vectors and metadata in Milvus with schema considerations and batch insertion, and implementing hybrid search with RRF fusion for improved retrieval accuracy. Specific code snippets for document parsing, text chunking, and Milvus insertion are provided.