Migrate studio documentation to datachain

docs/studio/index.md

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+# DataChain Studio
+
+DataChain Studio is a web application that enables Machine Learning and Data teams to seamlessly
+
+- [Run and track jobs](user-guide/jobs/index.md)
+- [Track experiments and manage models](user-guide/experiments/index.md) (via DVC integration)
+- [Collaborate on data projects](user-guide/team-collaboration.md)
+
+DataChain Studio supports multiple workflows:
+- **DataChain workflows**: For unstructured data processing and transformation
+- **DVC + Git workflows**: For ML experiment tracking and model registry, maintaining Git as the single-source-of-truth
+
+Sign in to DataChain Studio using your GitHub.com, GitLab.com, or Bitbucket.org account, or with your email address. Explore the demo projects and datasets, and [let us know](user-guide/troubleshooting.md#support) if you need any help getting started.
+
+## Why DataChain Studio?
+
+- Simplify data processing job tracking, visualization, and collaboration.
+- Support both modern DataChain workflows and traditional DVC experiment tracking.
+- Keep your code, data and processing connected at all times.
+- Apply your existing software engineering stack for data and ML teams.
+- Build a comprehensive data processing and ML platform for transparency and discovery across all your projects.
+- For DVC projects, maintain Git as the single-source-of-truth and use [GitOps](https://www.gitops.tech/) for deployment and automation.
+
+## Getting Started
+
+New to DataChain Studio? Start with these guides:
+
+- **[User Guide](user-guide/index.md)** - Learn how to use DataChain Studio features
+- **[API Reference](api/index.md)** - Integrate with Studio programmatically
+- **[Webhooks](webhooks.md)** - Set up event notifications
+- **[Self-hosting](self-hosting/index.md)** - Deploy your own Studio instance
+
+## Key Features
+
+### Dataset Management
+- Track and version your datasets
+- Visualize data processing pipelines
+- Share datasets across teams
+
+### Job Processing
+- Run data processing jobs in the cloud
+- Monitor job progress and logs
+- Schedule recurring data processing tasks
+
+### ML Experiment Tracking (DVC Integration)
+- Track and compare ML experiments
+- Manage model lifecycle and registry
+- Visualize metrics and plots
+- Git-based experiment versioning
+
+### Team Collaboration
+- Share projects with team members
+- Control access with role-based permissions
+- Integrate with development workflows
+
+### API Integration
+- RESTful API for programmatic access
+- Webhook notifications for automation
+- Command-line tools for developers
+
+
+Visit [studio.datachain.ai](https://studio.datachain.ai) to get started, or learn about [self-hosting](self-hosting/index.md) for enterprise deployments.