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Documentation Index

Fetch the complete documentation index at: https://arize-ax.mintlify.dev/docs/llms.txt

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Arize architecture overview The core components of Arize AX are organized into the following categories:
ComponentDescription
Front End & APIsThe Arize AX Web Client serves as the main interface for users, offering UI access, user management, dashboards, and all workflows critical to ML and LLM observability. It is backed by a suite of LLM and ML analytics services exposed through REST and GraphQL interfaces.
Backend ServicesArize AX supports flexible ingestion methods, accepting data in various formats (e.g., files, tables, OTEL traces) through both push and pull mechanisms, allowing seamless integration with diverse data pipelines and external clients.
DatabaseADB is an advanced OLAP analytics query engine, not a traditional database. Your data resides in your own object storage, while local PVCs store only a regenerable cache. As a result, data-at-rest compliance and certifications are inherited from your existing storage infrastructure. Arize also utilizes a local or cloud-hosted PostgreSQL database for operational and metadata storage.
StorageAll observability and operational data is durably persisted to cloud storage to ensure high availability and resilience.