
Building an effective document search system requires more than basic PDF parsing. This comprehensive guide demonstrates how to create a hybrid RAG-powered search engine using Typesense’s dual indexing capabilities, custom PDF processing for mixed content types, and AI-driven visual context preservation. Learn how to handle complex documents with handwritten annotations, extract structured data from tables, and deliver accurate results by combining traditional text search with modern vector embeddings and LLM integration.