As businesses accumulate massive troves of data, unlocking the insights and value from that data is key to success. Language models are a powerful tool for mining and leveraging data, but developing data-driven applications powered by them has been challenging.

In this talk, I will present LangChain, a framework for quickly building applications based on language models combined with Google Drive as the knowledge base. LangChain enables you to tap into pretrained models like GPT-3, and more to create data-powered apps for your business.

With LangChain, you can build conversational agents that provide personalized support based on customer data, summarization systems that condense volumes of reviews or feedback, question answering bots that provide quick access to institutional knowledge, and more. I will demo building an open-domain question answering application using Langchain and large language models.

LangChain is very unique because of its ability to 'chain' different components together, so you can load, combine, and deploy models in just a few lines of code. You will learn how to leverage LangChain and powerful generative AI models to unlock key insights and value from your data. LangChain has the potential to help businesses everywhere harness the potential of their data and build the data-powered applications of the future.