Uploaded February 2026 | Updated September 2026, 2 weeks ago
Learn how to build a high-throughput IDP pipeline that uses vision-based extraction to turn complex charts and nested tables into searchable intelligence. By preserving document structure with markdown and multimodal embeddings, you can boost RAG accuracy by 40%.
Check out the full Jupyter notebook and technical blog.
📝 Tech blog: nvda.ws/3NVXM6r
📝Notebook: colab.research.google.com/drive/1qQXYfzmaIXglKfnqhZ2YXXE_OmAybxSr
Learn how to build a high-throughput IDP pipeline that uses vision-based extraction to turn complex charts and nested tables into searchable intelligence. By preserving document structure with markdown and multimodal embeddings, you can boost RAG accuracy by 40%.
Check out the full Jupyter notebook and technical blog.
📝 Tech blog: nvda.ws/3NVXM6r
📝Notebook: colab.research.google.com/drive/1qQXYfzmaIXglKfnqhZ2YXXE_OmAybxSr
