Chariotai presents an API tool meticulously designed to empower developers in effortlessly incorporating the prowess of natural language capabilities into both their new and existing applications. Boasting compatibility with a spectrum of models such as GPT 3.5 and GPT-4, Chariotai streamlines the intricate process of constructing language models and, in tandem, orchestrates the seamless integration of these models across diverse applications.
Integral to this tool are a myriad of pivotal features, including model configuration, embedding of text and files, dynamic streaming completions, and adept conversation management. Harnessing Chariotai’s capabilities, developers can meticulously select the most pertinent language model and fine-tune settings to harmonize with their application’s objectives. This is seamlessly complemented by Chariotai’s automated processes encompassing chunking, embedding, and storage of text, files, and URLs.
Moreover, Chariotai gracefully facilitates data retrieval, bespoke prompts, and API calls to the language model, thereby streamlining the orchestration of the streaming process. A distinctive facet of Chariotai’s prowess lies in its adept management of conversations. Developers are bestowed with a robust framework to store, retrieve, and effectively moderate conversations spanning across their diverse applications.
Fostering user experience, the Chariotai SDK offers frictionless message streaming from the server, alleviating complexity and ensuring a seamless interaction journey. With pricing plans catering to diverse needs, Chariotai’s repertoire encompasses a free tier with daily message and data usage quotas. The starter plan, inclusive of GPT-4, augments quotas for messages and data, while the professional plan encompasses boundless messaging, data, and unwavering support.
In its entirety, Chariotai unfurls as a dynamic and user-centric solution, empowering developers to economize time and effort by delivering an intuitive interface that seamlessly integrates potent natural language capabilities into their applications, all the while mitigating the intricacies tied to production-scale endeavors.