Jan 14
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🧠 Langfuse vs LangSmith — which one should you use to monitor, evaluate, and debug your LLM applications in 2025? In this video, we’ll compare both Langfuse and LangSmith side-by-side for: ⚙️ Tracing and observability for LLMs 📊 Metrics, cost tracking, and performance monitoring 🧩 Integration with LangChain, LangGraph & custom AI agents 💡 Real-world examples for debugging and fine-tuning workflows By the end, you’ll clearly know which tool fits your AI production workflow — whether you’re building chatbots, RAG systems, or agentic apps. 🔗 Connect & Learn More: 💬 Discord Community: https://discord.gg/rWdVCmjAHp 📸 Instagram: https://www.instagram.com/pavithravbhuvan/ 💼 LinkedIn: https://www.linkedin.com/in/pavithra-vijayan-6a68379a/ 🎯 Topmate (1:1 AI Career Guidance): https://topmate.io/pavithra_vijayan 🌐 Website: https://pavithravbhuvan.com/ 💻 GitHub: https://github.com/pavithra20august/pavithraspodcast-files