Specifically the UnstructuredPDFLoader, which is used to load and extract text from a PDF file. These libraries contain functions and classes that allow the user to access and manipulate text data from different sources. The document_loaders and text_splitter modules from the LangChain library. Showing Step (1) Extract the Book Content (highlight in red). This code provides a basic example of how to use the LangChain library to extract text data from a PDF file, and displays some basic information about the contents of that file.įigure. Special thanks to Data Independent video and notebook inspired this implementation, see the References section. However, we will strive to explain the key concepts in a clear and concise manner to ensure that readers of all backgrounds can benefit from this article. This will help them follow along with the technical aspects of the article and understand the concepts and techniques used in the implementation of the question answering system. Let’s assume that the readers of this article have foundational knowledge of Python programming language and a basic understanding of Natural Language Processing (NLP). If you have the will to install all the requirements, you are ready to take on the actual implementation process. First, we are going to create a virtualenv nlp with python=3.9. The latest LangChain, which has all the goodies of handling many unstructured document formats including PDF and Microsoft Words, requires Python >= 3.8.1. Using our philosophy of learning by doing, we shall take the practical approach to demonstrate how to install all the required Python modules to build a system. By following the steps outlined, readers will be able to conduct sophisticated searches on large volumes of text, which can assist in answering the questions that we might have after reading the book. This approach is not limited to books and can be used for internal documents or external data sets as well. The example demonstrates how to ask a question in natural language and receive an answer using this technique. Using “60 Learders on Artificial Intelligence” for the implementation. If we can automatically extract the unstructed text and build an index, subsequently to query and summarize from the content.įigure. This is a book in PDF format and contains 236 pages including plenty of graphics. We are using an interesting and free online book: 60 Leaders on Artificial Intelligence, to illustrate the whole process. In this article, we shall walkthrough the process of (1) Extract the Book Content, (2) Split Book into Smaller Chunks, (3) Build Semantic Index and (4) Ask a Book Questions (the red arrows show the questioning flow and the green arrows show the answering flow). The book is broken down into smaller documents, and OpenAI embeddings are used to convert them into vectors, which are then stored externally using Pinecone.įigure. In the process, we explain how to perform semantic search and query on a book using OpenAI, LangChain, and Pinecone - an external vector store. In this article, we take the practical approach of building a question and answering system. How to Build a AI Question and Answering System? This can lead to a more enriching before and after the reading experience. With an AI’s assistance, you can ask deeper and more meaningful questions, and receive thoughtful and informative responses that can help you to connect the ideas in the book to your own experiences and beliefs. An AI can provide unbiased and objective insights into the book’s themes and concepts, and help you to understand the author’s perspective on the subject matter. Imagine that we are having a non-judgmental AI tutor to assist in the question and answer process can be incredibly helpful, especially when it comes to exploring and applying the ideas presented in a book. Imagine that we are having a non-judgemental AI tutor to assist in the question and answer to a book. “ Reading a book should be a conversation between you and the author.”įigure. Mortimer Adler famously advised in his classic book “How to Read a Book”, Without a tutor or friends around to provide guidance and discussion, you may need to take a more thoughtful and introspective approach to your reading. In this situation, you might be left wondering how long it will take to fully digest the book and answer your own questions. Perhaps you don’t have anyone nearby who has read the book or is interested in discussing it, or maybe you simply want to explore the book on your own terms. However, once you’ve finished reading, you might find yourself with a lot of questions that you’d like to discuss. Reading a book can be a fulfilling experience, transporting you to new worlds, introducing you to new characters, and exposing you to new concepts and ideas.
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