In this livestream we demonstrate how to build scalable AI apps with Langflow and LangSmith - LangChain's observability service for monitoring and tracing AI pipelines.

In this session we'll use a RAG use case to show you how to instrument for LangSmith - Just add your LangSmith API key to Langflow and you are good to go! Then we'll run the AI pipeline in the Playground and show our LangSmith reports live!

Langflow is an open-source, Python-based visual AI development framework that is model and vector database agnostic.

Join Langflow CTO Gabriel Almeida and Misbah Syed as they show you how to build apps with LLMs, RAG (retrieval augmented generation) techniques, and multi-model agents with LangChain and vector databases.

RESOURCES:
Langflow GitHub: bit.ly/langflow_repo
Langflow Discord: [ Ссылка ]
Try Langflow: [ Ссылка ]

свернуть