Using Cross-Encoders as reranker in multistage vector search

1. 1Understand the difference between bi-encoder and cross-encoder models
2. 2Learn how bi-encoders are used for initial filtering in vector search
3. 3Discover how cross-encoders can be used as a reranker to improve search results
4. 4Implement a multistage vector search system combining bi-encoders and cross-encoders

Machine learning engineers and data scientists on a team can benefit from this approach to improve the efficiency of their vector search systems, and software engineers can implement this in their applications

💡 Combining bi-encoders and cross-encoders can significantly improve the accuracy of vector search results

🚀 Improve vector search with bi-encoders and cross-encoders