Build and Deploy the Chatbot you own this product

prerequisites
basics of software architecture • intermediate API experience
skills learned
create a chatbot using LangServe and Streamlit • deploy to the cloud through Streamlit Cloud

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team

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Look inside

In this liveProject, you’ll step into the role of a software developer at InfoHub, an AI startup attempting to build a chatbot that can answer queries about a company’s knowledge base. You’ve already built the basics of the chatbot—now it needs to be deployed! To do this, you’ll use the LangChain feature LangServe to create a LangChain server application. You’ll build your chatbot using Streamlit and then deploy it to the Streamlit cloud.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

prerequisites

This liveProject is for intermediate-level Python developers. No special tools are required—you can perform everything you need using a normal IDE or Jupyter Notebook.


TOOLS
  • Intermediate Python
  • Basics of Pandas
  • Basics of the OpenAI API
  • Basics of software engineering
  • Intermediate API experience

TECHNIQUES
  • Basics of tokens
  • Basics of embeddings
  • Basics of LLMs

features

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You choose the schedule and decide how much time to invest as you build your project.
Project roadmap
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Get Help
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Compare with others
For each step, compare your deliverable to the solutions by the author and other participants.
book resources
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  • five seats for your team
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  • Build and Deploy the Chatbot project for free