Galileo
What is Galileo?
Galileo is an AI observability and evaluation platform for teams developing large language model (LLM) applications, retrieval-augmented generation (RAG) systems, and AI agents. The platform helps teams evaluate system behavior, investigate failures, and apply production guardrails.
Key Capabilities
- Evaluation engineering: Builds and runs evaluations for RAG quality, agent behavior, safety, security, and custom domain-specific criteria.
- Dataset development: Creates evaluation datasets from synthetic, development, and production data, with support for subject-matter-expert annotations.
- Observability: Collects signals from models, prompts, functions, contexts, datasets, and traces to examine agent behavior and identify failure patterns.
- Production guardrails: Uses evaluation results to control agent actions, tool access, and escalation paths during production operation.
- Issue analysis: Surfaces failure modes and patterns to help developers diagnose problems and refine prompts, models, or tool-use workflows.
Audience & Use Cases
- Audience: AI engineers, ML engineers, data scientists, and product teams operating LLM applications and AI agents.
- Use cases: Testing RAG and agent workflows before release, monitoring production interactions, identifying hallucinations or unsafe outputs, and enforcing policies for agent actions.
Technical Specifications
- Deployment options: Software as a service (SaaS), virtual private cloud (VPC), and on-premises deployment.
- Evaluation inputs: Supports synthetic, development, and production data, plus human annotations and custom evaluators.
Categories & Use Cases
Technical Details
| Mobile Application | No |
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FAQs
What is Galileo?
Galileo is an AI observability and evaluation platform for teams developing large language model (LLM) applications, retrieval-augmented generation (RAG) systems, and AI agents. The platform helps teams evaluate system behavior, investigate failures, and apply production guardrails.