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

Описание: 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

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