Build an LLM-powered Q&A App using LangChain, OpenAI and Python | Zero To Mastery

Build an LLM-powered Q&A App using LangChain, OpenAI and Python | Zero To Mastery
English | Size: 456.86 MB
Genre: eLearning


LLMs like GPT are great at answering questions about data they’ve been trained on…but what if you want to ask it questions about data it hasn’t been trained on? For example, maybe you want to ask them about information from after their training cut-off date, or information from non-public documents? One of the best ways to do this is inputting the information, even large amounts of information such books and documents, into the model. And that’s exactly what this project will teach you from scratch!

In this project you’ll learn how to build state-of-the-art LLM-powered applications with LangChain, Pinecone, OpenAI, and Python! We’ll build together, step-by-step, line-by-line. This will be a learning-by-doing experience.


This is a portfolio project. It requires about 3 hours to both learn LangChain and build the Q&A application.

LangChain is an open-source framework that allows developers working with AI to combine large language models (LLMs) like GPT-4 with external sources of computation and data. It makes it easy to build and deploy AI applications that are both scalable and performant. LangChain is a great entry point into the AI field for individuals from diverse backgrounds and enables the deployment of AI as a service. It has a virtually infinite number of practical use cases.

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