Partners and Integrations

Whether you’re tracing outputs, retrieving documents, or preventing hallucinations, Cleanlab brings real-time reliability to your AI systems.

Explore our partner ecosystem to see how Cleanlab works with the tools you already use.

Guardrails and AI Agent Orchestration

Route, reject, or revise LLM outputs in real time to keep AI agents on track.

NVIDIA NeMo GuardrailsPrevent hallucinations and steer AI agents using Cleanlab’s step‑by‑step confidence.Learn moreLangChainOrchestrate multi‑step LLM chains with confidence‑aware tool calls and routing.Learn moreLangflowAdd Cleanlab to your AI flows to detect and remediate low-trust outputs.Learn more

Evaluation and Observability Platforms

Monitor, measure, and debug your LLM systems with Cleanlab’s real-time trust signals.

Arize PhoenixSeamlessly stream Cleanlab’s trust scores for live model monitoring.Learn moreMLflowGenerate trustworthiness scores and explanations for each MLflow trace.Learn moreLangfuseAuto‑evaluate LLM outputs with Cleanlab TLM metrics as they occur.Learn moreLangtraceEnd‑to‑end tracing of LLM chains with built‑in Cleanlab confidence signals.Learn more

RAG Knowledge Bases

Integrate Cleanlab into your retrieval pipeline to raise the bar on precision and accuracy.

LlamaIndexInject Cleanlab’s scoring into your vector queries for higher‑precision retrieval.Learn moreMongoDBPair MongoDB with Cleanlab to catch and prevent bad LLM responses in real time.Learn morePineconeBuild reliable RAG applications by vetting vector retrieval in real time.Learn moreWeaviateApply trust scores to filter or rerank retrieved chunks before passing LLMs.Learn more