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langsmith-observability

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Covering its core concepts, agent orchestration workflows, and essential tools. Design, implement, and manage multi-agent systems, integrate memory and tool-augmented reasoning, and deploy real-world AI agents efficiently. The course emphasizes hands-on, practical applications so you can immediately apply the knowledge to production-grade projects.

  • Updated Aug 22, 2025
  • Python

A lightweight agentic RAG-style chatbot that answers questions about LangChain using retrieved documentation as the primary source. Built with LangChain, Chroma, Ollama, and Streamlit.

  • Updated Sep 15, 2026
  • Python

Natural langauge to SQL conversation agent.Langsmith for asynchronous trace of evals and logs with token usage from Haiku 4.5 with LangGraph agent on a SQL DB from sqlite3 with Typescript JS frontend and FastAPI middleware. 2025 and 2026 IndIan hotel bookings DB

  • Updated Sep 16, 2026
  • Python

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