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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 5. Use for customer support

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

    2019-07-10

Cohere's chat product is an AI-powered conversational tool that enables businesses to integrate intelligent chat functionalities into their applications. It leverages the Command model, a generative AI model that utilizes retrieval-augmented generation (RAG) to enhance chat experiences by integrating various inputs, sources, and models.

Key features:
- Retrieval-Augmented Generation (RAG): Integrates inputs, sources, and models to produce informed responses by pulling information from different data sources.
- Enterprise Datastores Integration: Allows the model to securely access proprietary data for generating responses.
- Internet and Specific Documents: Sources information from the web or specific documents to provide real-time or focused content.
- Conversational Knowledge Assistants: Automates tasks and provides grounded answers through natural interactions.
- Customer Support and Learning Apps: Delivers immediate answers from knowledge bases and provides personalized learning experiences.
- Privacy and Security: Ensures data privacy when deployed privately.
- Simple APIs for Integration: Offers accessible integration for users with varying levels of ML/AI experience.

How it works:
Users interact with the chat product through APIs by sending messages to the Cohere chat API. The API generates responses based on the input message, user-provided context, and accessible data sources.

Integrations:
Cohere's chat product supports integration with various data sources, including enterprise tools like Algolia, Asana, Confluence, Google Drive, Jira Software, Slack, and more, as well as the internet and specific documents.

Use of AI:
The chat product utilizes the Command model, a generative AI model that employs RAG to enhance chat functionalities by integrating data sources and reducing hallucinations.

AI foundation model:
The Command model serves as the foundation for Cohere's chat product, enabling powerful and intelligent chat capabilities.

How to access:
Cohere's chat product is available as an API, allowing developers to integrate its capabilities 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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