Relari is an innovative AI agent created by Relari, a company founded in 2023 and supported by Y Combinator (YC W24). This AI agent serves as a comprehensive testing and simulation stack specifically designed for Generative AI (GenAI) applications throughout their development lifecycle. By utilizing Relari's continuous-eval framework, developers can ensure the reliability and quality of their GenAI systems through a robust set of tools tailored for this purpose.
Features
The Relari AI agent offers a multitude of features aimed at enhancing the testing and validation processes of GenAI applications. These capabilities include a modular evaluation framework, synthetic data generation, user feedback integration, and online monitoring tools. Below is a detailed overview of these features:
| Feature | Description |
|---|---|
| Modular Evaluation Framework | Includes 30+ open-source metrics covering various GenAI use cases, allowing developers to orchestrate modular tests and quickly analyze performance issues. |
| Synthetic Data Generation | Generates large-scale synthetic datasets tailored to specific use cases, simulating user behavior to thoroughly test the AI pipeline. |
| Close-to-Human Evaluators | Integrates user feedback to create custom evaluators that align over 90% with human evaluators, fostering continuous improvement. |
| Online Monitoring Tools | Provides real-time insights into the performance of the AI pipeline, helping developers to promptly identify and resolve issues. |
Use cases
The Relari AI agent can be applied in various scenarios relevant to GenAI applications, enhancing their reliability and performance. Some notable use cases include:
- Compliance Copilot: Ensuring that AI systems adhere to regulatory standards by simulating real-world scenarios during testing.
- Enterprise Search: Enhancing the accuracy and efficiency of enterprise search engines by stress-testing them with custom synthetic datasets.
- Financial Assistance: Validating the performance of financial AI systems to guarantee reliable and accurate operations in high-stakes environments.
How to get started
To begin utilizing Relari's AI agent, interested developers can access the open-source platform and its resources through the official Relari website or GitHub repository. This allows users to explore the features and capabilities offered by the agent and integrate them into their own GenAI applications. For further inquiries or specific use cases, contacting Relari directly for support or guidance is also recommended.
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Relari AI Agent Pricing
Pricing information for the AI agent from Relari is not available.