Product Overview of Evidently AI
Evidently AI is a comprehensive AI observability platform designed to help teams develop, evaluate, and monitor machine learning (ML) and large language model (LLM) powered products with precision and ease. Here’s a detailed look at what the product does and its key features.
Purpose and Mission
Evidently AI aims to ensure that AI systems run with certainty and reliability. It provides a suite of tools to evaluate, test, and monitor AI-powered systems, addressing the evolving needs of teams working with ML and LLMs. The platform is built to support both technical and non-technical users, making AI quality management accessible and effective.
Key Features
Evaluation and Testing
- Reports and Test Suites: Evidently AI offers a modular approach with components like Reports and Test Suites. Reports compute various data, ML, and LLM quality metrics, providing interactive visuals for exploratory analysis and debugging. Test Suites check defined conditions on metric values and return pass or fail results, ideal for regression testing, CI/CD checks, and data validation pipelines.
Monitoring and Visualization
- Monitoring Dashboard: The platform includes a Monitoring UI service that visualizes metrics and test results over time. This dashboard can be self-hosted using the open-source version or accessed through Evidently Cloud, which offers additional features like user management, alerting, and no-code evaluations.
Data Management and Tracing
- Datasets and Tracing: Evidently Cloud allows users to store and manage raw datasets, perform evaluations directly on the platform, and run tracing to monitor complex chains of interactions. This is particularly useful for LLM-powered products where understanding the flow of data is crucial.
No-Code Workflows
- No-Code Evaluations: The platform provides no-code tools, making it easier for non-technical users such as product managers to evaluate and monitor AI systems. This includes built-in templates and workflows that can be customized to specific needs.
Collaboration and Security
- Collaboration Tools: Evidently Cloud is designed for team collaboration, offering features like role-based access control, dedicated support, and onboarding. This ensures that larger companies with strict security needs can deploy the platform securely in their chosen cloud region or self-host it for full control over infrastructure.
Advanced Metrics and Alerts
- Built-in Metrics and Alerts: The platform comes with a huge library of over 100 built-in metrics, including data drift detection, target drift, data integrity, and feature analysis. It also includes alerting features to ensure users are notified of any issues in real-time.
Flexibility and Integration
- Modular Architecture: Evidently AI has an open architecture that allows easy integration with existing tools and workflows. Users can export data in various formats (JSON, Python dictionary, HTML, DataFrame) and view results in the monitoring UI.
Deployment Options
Evidently AI offers multiple deployment options:
- Open-Source Version: Suitable for individual data scientists and AI/ML engineers, this version is free and can be self-hosted.
- Evidently Cloud: This commercial version includes advanced features like scaling, datasets, collaboration, and no-code tools, along with support and hosting. It offers a generous free tier and additional features for larger companies.
In summary, Evidently AI is a powerful tool for AI product teams, providing a comprehensive suite of features to evaluate, test, and monitor ML and LLM-powered systems. Its modular architecture, no-code workflows, and robust monitoring capabilities make it an essential platform for ensuring the quality and reliability of AI systems.