Cohere’s Post

Introducing our latest AI search model: Rerank 3.5! Rerank 3.5 delivers state-of-the-art performance with improved reasoning and multilingual capabilities in 100+ languages to precisely search complex enterprise data like long documents, emails, tables, and code. Rerank 3.5 can be easily implemented with just a few lines of code to help businesses enhance their search and retrieval-augmented generation (RAG) systems. Customers like Notion have used our rerankers to help users quickly get relevant answers to their most important questions. It’s available today on Cohere’s platform and Amazon Web Services (AWS) Bedrock and Sagemaker, with additional cloud platforms coming soon. Learn more: https://lnkd.in/e6nVA7ws

Introducing our latest AI search model: Rerank 3.5! Rerank 3.5 delivers state-of-the-art performance with improved reasoning and multilingual capabilities in 100+ languages to precisely search complex enterprise data like long documents, emails, tables, and code. Rerank 3.5 can be easily implemented with just a few lines of code to help businesses enhance their search and retrieval-augmented generation (RAG) systems. Customers like Notion have used our rerankers to help users quickly get relevant answers to their most important questions. It’s available today on Cohere’s platform and Amazon Web Services (AWS) Bedrock and Sagemaker, with additional cloud platforms coming soon. Learn more: https://lnkd.in/e6nVA7ws

Introducing our latest AI search model: Rerank 3.5! Rerank 3.5 delivers state-of-the-art performance with improved reasoning and multilingual capabilities in 100+ languages to precisely search complex enterprise data like long documents, emails, tables, and code. Rerank 3.5 can be easily implemented with just a few lines of code to help businesses enhance their search and retrieval-augmented generation (RAG) systems. Customers like Notion have used our rerankers to help users quickly get relevant answers to their most important questions. It’s available today on Cohere’s platform and Amazon Web Services (AWS) Bedrock and Sagemaker, with additional cloud platforms coming soon. Learn more: https://lnkd.in/e6nVA7ws

Introducing our latest AI search model: Rerank 3.5! Rerank 3.5 delivers state-of-the-art performance with improved reasoning and multilingual capabilities in 100+ languages to precisely search complex enterprise data like long documents, emails, tables, and code. Rerank 3.5 can be easily implemented with just a few lines of code to help businesses enhance their search and retrieval-augmented generation (RAG) systems. Customers like Notion have used our rerankers to help users quickly get relevant answers to their most important questions. It’s available today on Cohere’s platform and Amazon Web Services (AWS) Bedrock and Sagemaker, with additional cloud platforms coming soon. Learn more: https://lnkd.in/e6nVA7ws

Introducing our latest AI search model: Rerank 3.5! Rerank 3.5 delivers state-of-the-art performance with improved reasoning and multilingual capabilities in 100+ languages to precisely search complex enterprise data like long documents, emails, tables, and code. Rerank 3.5 can be easily implemented with just a few lines of code to help businesses enhance their search and retrieval-augmented generation (RAG) systems. Customers like Notion have used our rerankers to help users quickly get relevant answers to their most important questions. It’s available today on Cohere’s platform and Amazon Web Services (AWS) Bedrock and Sagemaker, with additional cloud platforms coming soon. Learn more: https://lnkd.in/e6nVA7ws

[SPONSORED] Scaling Generative AI for Value: Data Leader Agenda for 2025 report and webinar from Amazon Web Services (AWS) https://s.hbr.org/40Z3icU

A demonstration of Google's Generative AI based Search Engine using VertexAI Agent Builder The purpose of this demonstration is to showcase three different types of search engines created using Google's Vertex AI Agent Builder and Google’s Cloud Storage service. Search Engine 1: Public Website Data Source: This engine retrieves results from cloud.google.com, a public website. Search Engine 2: Structured Data Source: This search engine accesses a dataset of movies stored in Google Cloud Storage. Search Engine 3: Unstructured Data Source: This search engine searches through unstructured data in Google Cloud Storage, specifically earnings report PDFs from the Alphabet investor site Additionally, we also present the analytics of the search engines to evaluate performance and user engagement. #dreamaiio #Genai #VertexAI #LLM #SearchEngines #Enterprise #gcp #googlecloudplatform #googleanalytics #googlecloudstorage https://lnkd.in/gBXpwfrQ

A demonstration of Google's Generative AI based Search Engine using VertexAI Agent Builder The purpose of this demonstration is to showcase three different types of search engines created using Google's Vertex AI Agent Builder and Google’s Cloud Storage service. Search Engine 1: Public Website Data Source: This engine retrieves results from cloud.google.com, a public website. Search Engine 2: Structured Data Source: This search engine accesses a dataset of movies stored in Google Cloud Storage. Search Engine 3: Unstructured Data Source: This search engine searches through unstructured data in Google Cloud Storage, specifically earnings report PDFs from the Alphabet investor site Additionally, we also present the analytics of the search engines to evaluate performance and user engagement. #dreamaiio #Genai #VertexAI #LLM #SearchEngines #Enterprise #gcp #googlecloudplatform #googleanalytics #googlecloudstorage https://lnkd.in/gBXpwfrQ

[SPONSORED] Scaling Generative AI for Value: Data Leader Agenda for 2025 report and webinar from Amazon Web Services (AWS) https://s.hbr.org/40Z3icU