Arize Phoenix + LangChain
by Arize AI · freemium · Last verified 2026-03-17
Arize Phoenix integrates with LangChain to provide deep observability for LLM applications. By leveraging OpenTelemetry, it captures and streams traces for chains, agents, and retrievers to a local UI or the Arize cloud. This enables developers to debug applications, detect embedding drift, score retrieval quality, and analyze hallucinations at the span level.
https://phoenix.arize.com ↗C+
C+—Average
Adoption: BQuality: AFreshness: ACitations: C+Engagement: F
Specifications
- License
- ELv2
- Pricing
- freemium
- Capabilities
- Automated OpenTelemetry tracing for LangChain components, Local-first UI for real-time visualization and debugging of LLM traces, Embedding drift detection to monitor changes in vector distributions, Retrieval quality scoring for RAG applications, Span-level analysis for detecting hallucinations, toxicity, and PII, Root cause analysis for performance issues and unexpected model behavior, Exporting trace data to the Arize cloud platform for long-term monitoring, Comparison of different LLM chains or prompts side-by-side
- Integrations
- Use Cases
- [object Object], [object Object], [object Object], [object Object], [object Object]
- API Available
- Yes
- Tags
- llmops, observability, ml-monitoring, langchain, tracing, opentelemetry, rag, evaluation, drift-detection, hallucination-detection, debugging
- Added
- 2026-03-17
- Completeness
- 0.9%
Index Score
59.3Adoption
68
Quality
88
Freshness
87
Citations
58
Engagement
0