Parsing printed text data is easy, but parsing data from PDFs, scans, and images is hard because they can come in various formats and quality. There may also be handwriting involved. To help solve this challenge, we need to rely on computer vision and optical character recognition (OCR). Let's explore the most popular OCR text extraction tools and compare them.
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.