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Average Ratings 0 Ratings
Description
Cohere Rerank serves as an advanced semantic search solution that enhances enterprise search and retrieval by accurately prioritizing results based on their relevance. It analyzes a query alongside a selection of documents, arranging them from highest to lowest semantic alignment while providing each document with a relevance score that ranges from 0 to 1. This process guarantees that only the most relevant documents enter your RAG pipeline and agentic workflows, effectively cutting down on token consumption, reducing latency, and improving precision. The newest iteration, Rerank v3.5, is capable of handling English and multilingual documents, as well as semi-structured formats like JSON, with a context limit of 4096 tokens. It efficiently chunks lengthy documents, taking the highest relevance score from these segments for optimal ranking. Rerank can seamlessly plug into current keyword or semantic search frameworks with minimal coding adjustments, significantly enhancing the relevancy of search outcomes. Accessible through Cohere's API, it is designed to be compatible with a range of platforms, including Amazon Bedrock and SageMaker, making it a versatile choice for various applications. Its user-friendly integration ensures that businesses can quickly adopt this tool to improve their data retrieval processes.
Description
Mercury 2.5 represents the pinnacle of production models from Inception, demonstrating a remarkable enhancement in quality compared to its predecessor, Mercury 2, all while upholding an impressive low-latency serving profile. It stands out as the most advanced diffusion language model currently available and is touted by Inception as the largest diffusion LLM ever developed. With a 40% boost in intelligence over Mercury 2, its performance aligns closely with that of cost-efficient frontier models like GPT-5.6 Luna (Low), Gemini 3.5 Flash-Lite, and Claude Haiku 4.5. The model boasts a generation speed of 1,107 tokens per second on commonly accessible NVIDIA GPUs and accommodates a generous 260K-token context window. Among its features are adjustable reasoning capabilities, simultaneous tool calls, and JSON that aligns with schemas. Specifically engineered for latency-sensitive tasks, it is well-suited for scenarios involving numerous model calls during a single interaction. In applications such as search agents and RAG pipelines, Mercury 2.5 excels in functions like planning, query rewriting, re-ranking, fact structuring, source summarization, and answer verification, all while ensuring rapid response times, making it an essential tool for developers seeking efficiency in their workflows.
API Access
Has API
API Access
Has API
Integrations
JSON
Amazon Bedrock
Amazon SageMaker
Cohere
Google Docs
Google Sheets
Google Slides
Microsoft Excel
Slack
Integrations
JSON
Amazon Bedrock
Amazon SageMaker
Cohere
Google Docs
Google Sheets
Google Slides
Microsoft Excel
Slack
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Cohere
Founded
2019
Country
Canada
Website
cohere.com/rerank
Vendor Details
Company Name
Inception
Country
United States
Website
www.inceptionlabs.ai/blog/introducing-mercury-2-5