Features
Vitral is a flexible and modular platform designed to integrate various AI tools and services into a unified interface, referred to as "Workspace." Whether for personal or professional applications, our platform is designed to enhance productivity by facilitating complex workflows and efficient data management within this integrated environment.
Multi-Model Integration
Access a wide variety of large language models (LLMs) from top-tier providers. Select the most suitable model for your task and easily switch between models or load multiple models side by side.
Plug and play Components
Extend functionality with a wide range of Components including LLM models, customizable agents, Memories Archive, Conversations Archive, and a Terminal tool.
In addition to LLM models, you can add agents to assist with data archiving, retrieval, and research. There’s also components to store and retrieve past chats, and a Terminal tool that lets you execute commands within a panel. These components help you achieve a high level of customization and efficiency in your workspace. You can load, modify, and save layouts for future use, making it easy to switch between different setups for various tasks.
Workspace Management Overview
Vitral centralizes all your workspaces into a single, streamlined view, enabling you to manage projects and resources with ease. This intuitive overview simplifies the way you navigate between active workspaces, helping you focus on what matters—productivity and innovation.
Advanced Workspace Management
Organize your work into customized environments with multiple panels. Adjust your workspace layout to match your workflow for content creation, research, or technical tasks.
Live Sample Generation
Generate and preview code, SVG files, or Markdown documents created by LLMs. Test HTML, CSS, and JavaScript code within the platform before exporting.
Once a model generates code or other content, it appears in a dedicated panel where you can preview or edit it directly. For instance, you can ask a model to generate an HTML page or a Python script, and then view the results in real time. You can even use Vitral’s integrated preview feature to test HTML, CSS, and JavaScript code within the platform before exporting it. This makes it an invaluable tool for developers working on projects that involve web development or scripting.
Document Embedding and Retrieval
Manage large datasets or collections of documents with advanced search functionality powered by Mnemodia*, Vitral's document archiving agent.
Vitral excels at document management through its Memories Archive, a feature powered by Mnemodia. It’s particularly useful for users who need to manage large datasets or collections of documents, as you can quickly pull up relevant sections or notes using the search functionality. You can also add tags for future reference.
*Mnemodia is the Vitral’s document archiving agent. You can upload documents to your archive and later perform advanced searches based on natural language queries or exact phrases. Mnemodia allows you to store vast amounts of text and retrieve them based on similarity searches or through keyword-based queries.
Scalable Infrastructure and Credit Management
Monitor usage, purchase credits, and manage resources easily with detailed insights in the Profile section.
Vitral’s cloud-based infrastructure ensures that the platform scales with your needs, whether you are a solo user working on small projects or a team tackling large-scale data analysis. The platform provides detailed insights into your usage and credits in the Profile section, where you can monitor how many credits each model has consumed and purchase more credits when necessary. You can also apply discount coupons or track your transaction history directly from your profile. This makes budgeting and resource management easy, so you can focus on your projects without worrying about exceeding your resource limits.
Integrated Tools for Developers and Data Scientists
Vitral includes a Terminal tool that allows both users and models to execute commands in real time, integrating code into larger systems or running interactive scripts.
