Rabbitholes
|
Tags
|
Pricing model
Upvote
0
RabbitHoles is an app utilizing AI technology, crafted for experienced users to have extensive, explorative dialogues with AI on a limitless canvas. It enables users to create boards, initiate chats, and develop conversation threads by branching into subtopics or detailed tangents, ensuring deeper and more organized idea exploration. By retaining the conversational context, the app reduces AI hallucinations and boosts productivity for developers, students, researchers, and those in knowledge-intensive roles. Users can switch between AI models to receive customized responses, save their progress locally, and use spatial reasoning for quicker learning and discovery. RabbitHoles is available through a one-time purchase, offering lifetime access.
Similar neural networks:
0
Impaction.ai is a platform for conversational data analysis, enabling product teams to effortlessly examine conversational data from apps powered by large language models. The platform offers seamless integration, secure and compliant analysis, and insightful results through its advanced search, Columbus Copilot, and personalized recommendations. It holds SOC II Type 1 Certification and is compatible with various data sources, such as AWS S3, GCP Bigquery, PostgreSQL, MySQL, and others. The platform delivers actionable insights, allowing users to conveniently save, categorize, and track conversations.
0
Nomic Atlas is a flexible platform developed to organize unstructured text, images, and audio data, helping users uncover insights, improve datasets, and advance AI applications. It offers features like AI-based topic modeling, data labeling, and embeddings, facilitating the organization and semantic interaction with large quantities of data. Users may choose Nomic Atlas for effective management and comprehension of unstructured data, collaboration on data labeling and filtering, and the integration of structured data into applications with secure cloud or on-premises hosting. This tool is particularly beneficial for teams needing to exchange insights and datasets, researchers managing large sets of embeddings or text, and developers seeking to enhance AI applications with sophisticated data structuring and analysis capabilities.