A naukri.com initiative
Amazon
6d
359
Image Credit: Amazon
Enhancing Search Relevancy with Cohere Rerank 3.5 and Amazon OpenSearch Service
- Traditional keyword-based search methods often fall short in delivering truly relevant results, hence organizations are integrating large language models with Amazon OpenSearch Service.
- Cohere Rerank 3.5 improves search results for Best Matching 25 (BM25), a keyword-based algorithm that performs lexical search.
- Implementation of a reranking pipeline enhances user experience, drives better search outcomes, and improves engagement.
- Amazon OpenSearch Service is a versatile solution for implementing sophisticated search functionality, including the search mechanisms used to power generative AI applications.
- Lexical search relies on exact keyword matching whereas bi-encoders and cross-encoders recognize the context or intent behind the query using semantic search.
- Cohere Rerank 3.5 focuses on enhancing search relevance by reordering initial search results based on deeper semantic understanding of the user query.
- Combining reranking with BM25 reduces the top-20-chunk retrieval failure rate by 67%, delivering a more effective search experience for users.
- Cohere Rerank 3.5, when integrated with OpenSearch, significantly enhances existing project management workflows by increasing accuracy of search results.
- The ease of integration through a single API call with OpenSearch enables quick implementation, offering a competitive edge in user experience without disruption.
- Integrating Cohere Rerank 3.5 with OpenSearch Service is a powerful way to enhance your search functionality and deliver a more relevant search experience.
Read Full Article
21 Likes
For uninterrupted reading, download the app