If you're looking for tools to import knowledge from various sources for training your AI agent, Calepin is a strong contender. It offers a no-code platform for building, training, and deploying conversational AI agents across multiple channels like Telegram, WhatsApp, and Facebook Messenger. Calepin's flexible import system allows you to bring in knowledge from a variety of sources, making it easy to train and refine your agents while providing mock conversation testing.
Another excellent option is Modelit, which combines information from sources such as PDFs, URLs, Google Drive, and Notion to help you work more efficiently. This personal AI work assistant can link disparate information, facilitating co-authoring documents and AI chat. With customizable templates and workflows, and integration with popular tools like JIRA, Modelit offers tailored responses and data security.
For a more developer-focused approach, LLMStack provides a no-code builder for creating AI applications using pre-trained language models. It allows importing data from various sources like Google Drive and Notion, and linking them to LLM models for sophisticated AI apps. This platform supports vector databases for efficient data storage and multi-tenancy for managing multiple users and access.
Lastly, Visus is a personalized ChatGPT AI training platform that enables you to build custom AI models based on your own documents and knowledge base. It offers unlimited storage for knowledge, verified answers, and a conversational interface. With integrations for common tools like Google Drive and Confluence, Visus is designed to increase productivity by providing immediate answers to your questions.