LangChain

Build and Deploy the Chatbot you own this product

This project is part of the liveProject series Build a Custom Chatbot Using LangChain and ChatGPT
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.

book resources

When you start your liveProject, you get full access to the following books for 90 days.

project author

Pablo Elgueta
Over the past seven years, Pablo has been deeply involved in the tech industry, specifically focusing on software product development for the last four years. He worked at Microsoft, where he expanded his expertise in large-scale technology solutions. His academic journey led him to earn an MSc in Data Science and Machine Learning, where he researched the application of OpenAI’s GPT3 to predict cryptocurrency prices for his dissertation. Pablo has also spoken at the API Days conference, discussing the practical implementation of Large Language Models (LLMs). He has developed 'FanPods,’ an innovative app that turns text into AI-driven audiobooks. As an LLM Engineer at AffiliateAI, Pablo is crafting solutions for chat-based data retrieval using LLMs.

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

you will learn

In this liveProject, you’ll learn the essentials of deploying AI chatbots to the cloud.


  • Easily deploy LangChain applications and provide API access utilizing LangServe
  • Build front-end ML applications leveraging the open-source Streamlit framework
  • Simplify LLM integration for applications using the LangChain framework
  • Facilitate fast data retrieval, efficiently managing high-dimensional data through a Chroma vector store
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    Compare with others
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    book resources
    Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.

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    • Build and Deploy the Chatbot project for free