GraphQL AI is a platform designed for developers to build AI tools, bots, and chat assistants quickly using shared contexts and context networks. It provides a one-stop shop for all things AI, allowing users to launch their AI-powered applications effortlessly. The platform supports various image generation models and enables the creation of isolated contexts for data-driven chatbot conversations. Users can integrate with their preferred AI models, such as OpenAI and Replicate, by supplying the necessary access keys.
What is GraphQL AI?
How to use
To use GraphQL AI, supply the necessary access keys for your OpenAI or Replicate account. Then, provide a Key and Team ID for your request and insert the values from your dashboard. Use the provided fetch code snippet to make GraphQL API calls.
Core Features
- AI tool, bot, and chat assistant development
- Shared contexts and context networks
- Integration with OpenAI and Replicate
- Isolated contexts for data-driven conversations
- Various image generation models
Use Cases
- Creating data-driven chatbot conversations
- Generating images using various models
- Training an army of AI assistants
- Building smart assistants to speed up writing
- Creating data catalogs
FAQ
How much does GraphQL AI cost?
GraphQL AI is free to use. However, you need to use your own API keys for the AI models you integrate with.
What AI models can I integrate with GraphQL AI?
You can integrate with any AI model of your choice, such as ChatGPT, Anything 4.0, and Stable Diffusion, by supplying the necessary access keys for your OpenAI or Replicate account.
What are isolated contexts?
Isolated contexts are custom data inputs that you can create and save to drive future conversations with ChatGPT, ensuring its responses are on point from the start.
What are context networks?
Context networks connect various isolated contexts into whole networks to create an army of AI assistants ready to respond to your every question with relevant information.
Pricing
Pros & Cons
Pros
- Rapid development of AI tools and bots
- Integration with popular AI models (OpenAI, Replicate)
- Ability to create isolated contexts for focused conversations
- Context networks for complex AI assistant interactions
- Free to use
Cons
- Requires users to bring their own API keys for AI models
- May require technical expertise to set up and configure
- Reliance on external AI model providers (OpenAI, Replicate)