A step-by-step guide using OpenAI, LangChain, and Streamlit

Streamlit's platform is a resource for data scientists and machine learning engineers, offering insights into building interactive data applications and machine learning prototypes. Through articles, tutorials, and case studies, Streamlit offers insights into creating data visualization dashboards, deploying machine learning models, and building web applications with Python. Readers can learn about streamlining the data science workflow, designing intuitive user interfaces, and sharing insights with stakeholders to drive data-driven decision-making.

Streamlit

LangChain is a framework that uses LLM models to build applications for various use cases. It was first released as an open-source project in October 2022. To date, it has accumulated 41,900 stars on GitHub and has over 800 contributors. It's only 18 lines of code: i To start, create the file.

LangChain tutorial #1: Build an LLM-powered app in 18 lines of code