Improve your RAG system to retrieve diverse data types
- Learn to extract and normalize content from a wide variety of document types, such as PDFs, PowerPoints, Word, and HTML files, tables, and images to expand the information accessible to your LLM.
- Enrich your content with metadata, enhancing retrieval augmented generation (RAG) results and supporting more nuanced search capabilities.
- Explore document image analysis techniques like layout detection and vision and table transformers, and learn how to apply these methods to preprocess PDFs, images, and tables.
- Overview
- Data Normalization -
- Metadata Extraction -
- Preprocessing -
- Extracting Tables -
- RAG LLM BOT -
https://learn.deeplearning.ai/courses/preprocessing-unstructured-data-for-llm-applications/