Chariot is an API tool designed for developers to easily incorporate natural language capabilities into their new and existing applications. With support for models like GPT 3.5 and GPT-4, Chariot streamlines the process of building language models and enables seamless integration into various applications.The tool offers key features such as model configuration, text and file embedding, streaming completions, and conversation management. Developers can choose the most suitable language model and settings for their app and leverage Chariot's automated chunking, embedding, and storage functionalities for text, files, and URLs. Additionally, Chariot facilitates data retrieval, custom prompts, and API calls to the language model, making it easier to orchestrate the streaming process.Chariot also allows for efficient conversation handling, allowing developers to store, retrieve, and moderate conversations across their applications. The Chariot SDK enables seamless message streaming from the server, reducing complexity and ensuring a smooth user experience.Chariot offers different pricing plans, including a free option that provides limited daily messages and data usage. The starter plan, which includes GPT-4, offers more messages and data, while the professional plan offers unlimited messaging, data, and round-the-clock support.Overall, Chariot empowers developers to save time and effort by providing a user-friendly interface for integrating powerful natural language capabilities into their applications without the complexities of scaling for production.
About Chariotai
Pros and Cons of Chariotai
Pros
- Supports GPT-4
- Language model configuration
- Text
- file embedding
- Streaming completions
- Conversation management
- Automated chunking
- embedding
- storage
- Data retrieval
- API calls to LLM
- Efficient conversation handling
- SDK for message streaming
- Free pricing plan
- Different pricing options
- Chariot SDK
- Support for URLs embedding
- Unlimited messaging
- data
- 24/7 customer support
- Custom prompts
- Free daily messages
- Suitable for new apps
- Integration into existing apps
- User-friendly interface
- Ease of scaling
- Effortless message streaming
- Moderate conversations across apps
- Supports LLM applications
- Data management capabilities
- Save time for developers
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Pricing Model
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Frequently Asked Questions About Chariotai
What is Chariotai?
Chariotai is an API tool designed for developers to incorporate natural language capabilities into their applications. It supports models like GPT 3.5 and GPT-4, streamlines the process of language model building and seamlessly integrates into various applications. Chariotai also offers key features like model configuration, text and file embedding, streaming completions, and conversation management.
How does Chariotai integrate with apps?
Chariotai integrates with apps through a simplified process that includes model configuration, text and file embedding, streaming completions, and conversation management. These features enable developers to embed natural language capabilities into their applications without the complexities of scaling for production.
What models does Chariotai support?
Chariotai supports language models like GPT 3.5 and GPT-4, which it facilitates for developers to incorporate into their applications.
What key features does Chariotai offer?
Chariotai offers key features such as model configuration, text and file embedding, streaming completions, and conversation management. Other offerings include automated chunking, embedding and storage functionalities for text, files, and URLs, as well as data retrieval, custom prompts, and API calls to the language model.
How does Chariotai streamline the building of language models?
Chariotai streamlines the building of language models by providing easy-to-use model configuration. Developers are able to choose the best model and settings for their app. The platform also provides automated processes for text, files, and URL chunking, embedding, and storage, thus reducing the effort required in the model building process.
Can you choose the most suitable language model for your app with Chariotai?
Yes, Chariotai allows developers to choose the most suitable language model for their app among the supported ones like GPT 3.5 and GPT-4.
What is Chariotai's automated chunking?
Chariotai's automated chunking is a feature that breaks down large bodies of text, files, and URLs into manageable pieces, thereby simplifying the process of embedding and storing these elements.
What is the process of embedding text and files in Chariotai?
Embedding text and files in Chariotai involves an automated process where the tool chunks, embeds, and stores the text, files, and URLs. This makes the embedding process faster and less cumbersome for developers.
How does Chariotai facilitate data retrieval?
Chariotai facilitates data retrieval by orchestrating the retrieval process, custom prompts, and API calls to the language model. This enables seamless data retrieval from the language model to the application.
What does conversation management in Chariotai entail?
Conversation management in Chariotai involves easy storage, retrieval, and moderation of conversations across applications. This allows for efficient conversation handling and smooth user experiences.
How does Chariotai's SDK impact message streaming?
The Chariotai's SDK allows seamless message streaming from the server, reducing complexity and ensuring a smooth user experience. This aids in ensuring real-time and efficient data transmission between the server and applications.
What does the free plan with Chariotai offer?
The free plan with Chariotai offers 150 messages per day, 100 megabytes of data sources, GPT-3.5 model, and API keys.
What is included in Chariotai's starter plan?
Chariotai's starter plan offers 500 messages per day, 1GB of data sources, support for GPT-3.5 and GPT-4 models, and API keys. This plan costs $30 per month.
What benefits come with the professional plan of Chariotai?
In the professional plan of Chariotai, developers receive unlimited messages, unlimited data capabilities, 24/7 support, and the ability to scale for any demand. The pricing is custom according to the specific needs of the developer.
How does Chariotai simplify the process of integrating language capabilities into applications?
Chariotai simplifies the process of integrating language capabilities into applications by providing a user-friendly interface and important features such as automated chunking, embedding, and storage functionalities. Additionally, Chariotai offers streamlined data retrieval, custom prompts, API calls to the language model and conversation management.
Can Chariotai handle scaling for production?
Yes, Chariotai handles scaling for production. It is designed to help developers save time and effort by providing easy-to-use tooling for scaling language models without the complexities of scaling for production.
What are the data storage options in Chariotai?
Chariotai allows storage of text, files, and URLs by automatically chunking, embedding, and storing these data types. This capability is offered as part of their automated functionalities for easy integration of language models into applications.
How do custom prompts and API calls work in Chariotai?
Custom prompts and API calls in Chariotai work by orchestrating the entire process. Chariotai enables developers to call the language model API with custom prompts, thereby allowing the apps to interact with the language models in a more meaningful and application-specific way.
Can Chariotai help moderate conversations across various apps?
Yes, Chariotai can help moderate conversations across various apps. Its conversation management feature allows developers to efficiently store, retrieve, and moderate conversations across applications, ensuring a smooth user experience.
How can developers leverage URLs in Chariotai?
In Chariotai, developers can leverage URLs by using the platform's automatic chunking, embedding, and storage functionalities. The URLs are processed, embedded and stored, making them readily available to be used in the application's language model.
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