文档RAG管道教程

Build a complete RAG pipeline from your documents in 2026.

Build a pipeline that ingests PDFs, chunks them, creates embeddings, stores in vector database, and answers questions. Using Unstructured.io for parsing and LlamaIndex for orchestration. Supports multiple formats. Ideal for legal, academic, and business documents.