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

What this post added

This post details the system architecture and implementation steps for building a RAG knowledge base using PaddleOCR, Milvus, and ERNIE. It covers data extraction with PP-StructureV3, text chunking with sliding window overlap, storing embeddings and metadata in Milvus with specific naming conventions and batch insertion, and implementing hybrid search with RRF fusion. Code snippets for parsing, chunking, and inserting documents into Milvus are provided, along with explanations of the benefits of each step.