Project Overview
LLMs like GPT are exceptional at answering questions based on the data they’ve been trained on. But what if you need to inquire about information not included in their training set? For instance, asking about data from after their training cut-off date or querying non-public documents? This project will guide you on how to input extensive information, like books and documents, into the model to answer those questions. We will teach you this process from scratch!
In this project, you’ll learn to build cutting-edge LLM-powered apps using LangChain, Pinecone, OpenAI, and Python. Join us as we build together, step-by-step, line-by-line, in this learning-by-doing experience.
Why This Project Stands Out
This is a portfolio project designed to enrich your skill set. You will learn LangChain and build a Q&A application in about 3 hours.
LangChain is an open-source framework that simplifies working with AI by combining large language models (LLMs) like GPT-4 with external computation and data sources. It facilitates the creation and deployment of AI applications that are both scalable and performant. Whether you have a technical or non-technical background, LangChain provides an excellent entry point into the AI domain and supports deploying AI as a service. The practical applications are virtually limitless.
