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What does it do?

  • Conversational AI
  • Retrieval-Augmented Generation
  • Customer Support
  • Personalized Learning
  • Knowledge Assistants

How is it used?

  • Integrate API to add intelligent chat features to apps.
  • 1. Send message thru API
  • 2. Generate response
  • 3. Integrate web search
  • 4. Access enterprise tools
See more

Who is it good for?

  • Chatbot Developers
  • Customer Support Representatives
  • Knowledge Management Professionals
  • E-learning Creators
  • Business Application Developers

Details & Features

  • Made By

    Cohere
  • Released On

    2019-08-27

Cohere's chat product is an AI-powered conversational tool that integrates advanced language models with various data sources to provide intelligent and context-aware responses. This software enables businesses to create sophisticated chatbots and conversational interfaces that can access and utilize both internal and external information.

Key features:
- Retrieval-Augmented Generation (RAG): Combines inputs, sources, and models to produce more informed chat experiences
- Enterprise Datastore Integration: Allows secure access to proprietary data for generating responses
- External Information Sources: Can retrieve information from the internet or specific documents
- Conversational Knowledge Assistants: Automates tasks and provides grounded answers through natural interactions
- Customer Support and Learning Applications: Delivers immediate answers from knowledge bases and offers personalized learning experiences
- Privacy and Security: Ensures data privacy when deployed privately
- Simple API Integration: Enables easy implementation of chat interfaces in applications

How it works:
1. Users send messages to the Cohere chat API
2. The API processes the input message and context
3. The system accesses relevant data sources
4. The Command model generates a response
5. The API returns the response to the user

Integrations:
- Enterprise Tools: Algolia, Asana, Basecamp, BigQuery, Confluence, DocuSign, Dropbox, Google Drive, GitHub, Jira Software, MongoDB, Notion, Slack, Snowflake, Zendesk, and more
- Internet and specific documents

Use of AI:
The product uses AI to generate contextually relevant responses by combining natural language processing with information retrieval from various sources.

AI foundation model:
Command model, which utilizes retrieval-augmented generation (RAG)

Target users:
Businesses and developers seeking to incorporate advanced conversational AI into their applications, including customer support, personalized learning experiences, and knowledge assistants

How to access:
Available as an API for integration into web or mobile applications

  • Supported ecosystems
    Cohere, Google, GitHub, Notion, Slack
  • What does it do?
    Conversational AI, Retrieval-Augmented Generation, Customer Support, Personalized Learning, Knowledge Assistants
  • Who is it good for?
    Chatbot Developers, Customer Support Representatives, Knowledge Management Professionals, E-learning Creators, Business Application Developers

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