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Description
Cohere is a robust enterprise AI platform that empowers developers and organizations to create advanced applications leveraging language technologies. With a focus on large language models (LLMs), Cohere offers innovative solutions for tasks such as text generation, summarization, and semantic search capabilities. The platform features the Command family designed for superior performance in language tasks, alongside Aya Expanse, which supports multilingual functionalities across 23 different languages. Emphasizing security and adaptability, Cohere facilitates deployment options that span major cloud providers, private cloud infrastructures, or on-premises configurations to cater to a wide array of enterprise requirements. The company partners with influential industry players like Oracle and Salesforce, striving to weave generative AI into business applications, thus enhancing automation processes and customer interactions. Furthermore, Cohere For AI, its dedicated research lab, is committed to pushing the boundaries of machine learning via open-source initiatives and fostering a collaborative global research ecosystem. This commitment to innovation not only strengthens their technology but also contributes to the broader AI landscape.
Description
Achieve greater precision in results with the Inbenta Semantic Search Engine, which comprehends the intent behind customer inquiries. As the most commonly utilized self-service feature, found on 85% of websites, the capability to present the most pertinent information can significantly impact the quality of the customer experience on your site. Inbenta Search aggregates information from various customer relationship management platforms like Salesforce.com and Zendesk, as well as other specified online sources. By leveraging Inbenta's Symbolic AI and Natural Language Processing technologies, this advanced semantic search system effectively interprets user questions, swiftly provides the best answers, and helps lower your support expenses. Furthermore, adopting Inbenta's Symbolic AI technology eliminates the need for extensive data training, allowing for rapid deployment and immediate advantages from the Inbenta Search engine. This means that businesses can enhance customer satisfaction while also streamlining their operational costs efficiently.
API Access
Has API
API Access
Has API
Integrations
Salesforce
Amazon SageMaker Unified Studio
AptlyStar.ai
Athina AI
Cake AI
Cohere Embed
Elixir
Fuser
Genesys Cloud CX
Google Slides
Integrations
Salesforce
Amazon SageMaker Unified Studio
AptlyStar.ai
Athina AI
Cake AI
Cohere Embed
Elixir
Fuser
Genesys Cloud CX
Google Slides
Pricing Details
Free
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 AI
Founded
2019
Country
Canada
Website
cohere.com
Vendor Details
Company Name
Inbenta
Founded
2005
Country
United States
Website
www.inbenta.com/en/products/search/
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Enterprise Search
AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery
Natural Language Generation
Business Intelligence
CRM Data Analysis and Reports
Chatbot
Email Marketing
Financial Reporting
Multiple Language Support
SEO
Web Content
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization