Coral
Coral is a conversational AI tool developed by Cohere, powered by the latest version of their Command model. The tool is built to have comp...
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What is Coral?
Coral is an AI chatbot developed by Cohere that offers capabilities in text generation, code assistance, and search functionalities. It is designed for users seeking help with programming, content creation, and information retrieval. Coral is built on Cohere's Command large language model, which is trained specifically for chat, reasoning, and writing abilities.
Key features include Retrieval-Augmented Generation (RAG), which enables developers to control the chatbot's information sources by limiting them to enterprise data or expanding to the entire internet. Coral supports multi-turn conversations, fine-grained citations, document uploads (including PDFs), and chat history. It also offers customizable retrieval tools, data source connections, and integrations with cloud platforms like AWS and Azure. The tool includes web search functionality through connectors, allowing it to access internal data stores, the internet, and specific documents for real-time answer generation.
Coral is primarily designed for enterprises looking to improve the productivity of strategic teams, including knowledge workers, customer service agents, and developers. It serves use cases such as gathering product information, conducting market analysis and financial projections, creating lists, summarizing documents, building routes, finding strategies, and obtaining step-by-step instructions through conversational interaction.
Coral pricing
Pricing model: Paid
Coral offers a Freemium model with usage-based pricing. The free tier includes 1,000 API calls per month across all models (Command R+, Rerank, Embed), with rate limits of 20 requests/minute for Chat and 100 requests/minute for embeddings. New accounts receive $5 in API credits monthly sufficient for exploration and prototyping. No credit card is required for the free tier. Paid plans are pay-as-you-go once credits exhaust, with enterprise pricing available for full access to features including private deployment, customization, and advanced security.
Coral pros
- Free tier available for learning and prototyping
- Natural language conversation with multi-turn support
- Strong coding assistance for programming tasks
- Real-time web search through connectors
- API available for developer integration
- Retrieval-Augmented Generation (RAG) for controlled information sources
- Fine-grained citations with highlighted source references
- Document upload support including PDFs
- Chat history preservation across conversations
- Customizable retrieval tools and data sources
- Cloud integration with AWS and Azure
- Supports 49 languages for global communication
- Enterprise-grade security with multi-layered protection
- Deployable in private VPC or on-premises
- Trains on proprietary company data for customization
Coral cons
- Limited publicly available documentation
- Paid plans required for full enterprise access
- Primarily limited to English language interface
- Slower response times compared to GPT and Claude
- Reliability issues with current news retrieval
- Freemium model with usage-based pricing limits
- No image or voice input capabilities
- Limited to two supplementary information source types
Frequently asked questions about Coral
Is Coral (Cohere) free to use?
Yes, Coral offers a free tier with 1,000 API calls per month and $5 in monthly API credits for new accounts. The free tier includes Chat, embeddings, Rerank, and Command R+ access with rate limits. No credit card is required. Paid pay-as-you-go plans begin once credits are exhausted.
What can Coral (Cohere) do?
Coral supports text generation, code assistance, and search functionalities. Users can create lists, summarize documents, build routes, find strategies, and get step-by-step instructions through conversation. It includes document upload for PDFs, web search through connectors, multi-turn conversations, citations, and chat history.
Is Coral good for enterprise use?
Yes, Coral is designed as an enterprise knowledge assistant for improving productivity of strategic teams. It features enterprise-grade security with multi-layered protection, deployable in private VPC or on-premises, trains on proprietary company data, and supports regulated industries including financial services, healthcare, and public sector.
Does Coral have an API?
Yes, Coral has a public Chat API available for developers. The API supports Retrieval-Augmented Generation (RAG), allowing integration of web search or plain text documents as information sources. It's available across all Cohere SDKs including Python, Typescript, Java, and Go.
What languages does Coral support?
Coral's underlying Command models support 49 languages for global communication and discovery. However, the Coral chat interface primarily operates in English. The speech-to-text component supports 14 languages for conversational environments.
How does RAG work in Coral?
Retrieval-Augmented Generation in Coral allows developers to control information sources by adding two types: web search function or plain text documents from enterprise/other origins. RAG systems improve relevance and generative responses by incorporating information not part of pre-trained models, with Command models specifically performing well on RAG tasks.
Can I upload documents to Coral?
Yes, Coral supports document uploads including PDFs through its Document Upload feature in the Showcase. Users can chat with uploaded documents, and the system provides highlighted citations showing where Coral references the document as the information source. This grounds conversations in relevant data sources.
What cloud platforms does Coral integrate with?
Coral integrates with cloud platforms AWS and Azure currently, with expansion to all partner platforms coming soon. The open-source Coral chat interface is optimized for Retrieval-Augmented Generation pipelines and can be customized with cloud-based retrieval tools.
Is Coral's data secure?
Yes, Coral provides enterprise-grade security with multi-layered protection and industry-certified security standards. Your data stays under your control and can be deployed securely within your virtual private cloud (VPC), on-premises, or in a dedicated Cohere-managed Model Vault for maximum privacy.
What is the difference between Coral Showcase and Coral API?
Coral Showcase is the complimentary online demonstration/web interface where users can experiment with the chatbot by signing in with Google or Cohere credentials. The Coral Chat API enables third-party developers to integrate Coral into internal and external applications for building custom chat applications using the Command model.