Ever wanted to look up any information from a document and ask it questions like you would with ChatGPT? With the power of Langchain, it's not only doable but fairly straight forward. I will show you how to get this up and running in 20 minutes.
In the previous tutorial, we learned how to make a docuemnt search tool using Node.js and Pinecone, that allows us to search private data like you would with ChatGPT. In this tutorial, we will learn how to do this with Python and Faiss. In addition, we will also use Streamlit to quickly spin up a simple user interface and dynamically ask questions and get answers.
We will learn how to run a model from HuggingFace Hub locally on our machine, and ask it questions just like you would with ChatGPT. If you are worried about privacy issues with models hosted by someone else, this is a good place to start! Hosting your own model on your machine will give you all the control.
Today we will learn how to connect to a model hosted on HuggingFace Hub, and ask it questions just like you would with ChatGPT. It's really simple and will only take 10 minutes.