Beyond Dense Embeddings: Exploring Colbert, SPLADE, & Advanced Retrieval Techniques | Office Hours скачать в хорошем качестве

Beyond Dense Embeddings: Exploring Colbert, SPLADE, & Advanced Retrieval Techniques | Office Hours

Ben Clavie from Answer.ai shares expert insights on retrieval methods beyond dense embeddings, explaining the limitations of traditional approaches and introducing ColBERT as a powerful alternative. He demonstrates how ColBERT's multi-vector representations overcome common challenges in document retrieval, while also introducing Colpali, an exciting new approach that applies ColBERT's techniques to image tokens. Through detailed examples and benchmarks, Ben shows how these advanced methods achieve superior performance in real-world applications, from processing long documents to understanding complex visual information. TIMESTAMPS 00:00 Introduction to Dense Embeddings 00:16 RAG and Dense Embeddings 02:07 Understanding Dense Embeddings 03:16 Shortcomings of Dense Embeddings 04:29 Introduction to BM25 07:11 Sparse vs Dense Methods 10:13 Introduction to ColBERT 12:15 ColBERT Mechanism Explained 15:59 ColBERT in Practice 18:39 ColBERT for Long Documents 19:31 ColBERT for Image Tokens 24:21 Future of Document Understanding 24:46 Conclusion and Resources Sign-up for the free RAG Improvement Crash Course: https://dub.link/YaqNAio This free email course provides you with a proven foundational framework to help you go beyond the basics to improve performance, quality, and user experience.