Unified Text Extraction for RAG Pipelines | Lecture 3: PDF, DOCX & TXT скачать в хорошем качестве

Unified Text Extraction for RAG Pipelines | Lecture 3: PDF, DOCX & TXT

Lecture 3 | Unified Text Extraction for RAG Pipelines (PDF, DOCX & TXT) Before chunking, embeddings, or LLMs, documents must be normalized into clean raw text. In this lecture, we build a format-agnostic document extraction layer that serves as the ingestion backbone of a reliable RAG pipeline. This extraction layer: Accepts user-uploaded files Automatically detects file types Extracts text consistently from PDF, DOCX, and plain text This step is critical because: Chunking depends on clean, complete text Embeddings amplify extraction errors LLMs hallucinate when source text is incomplete or corrupted We intentionally keep this logic simple, explicit, and debuggable — because most AI failures start with silent ingestion errors. This lecture forms the ingestion backbone for: Retrieval-Augmented Generation (RAG) systems Due diligence and compliance AI Knowledge-base and document-grounded assistants