Build a Chatbot to Analyze PDF Documents Using LLM

Let's create a chatbot using Flask, LangChain and LLM that that will learn the contents of the PDF documents and will answer any questions you may have. In many organizations PDF documents contain a great deal of information. To make use of this information you have to read thousands of pages. Our chatbot will be your personal assistant powered by AI that will do the reading for you in seconds and will answer questions about what it had read.

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Guided Project

Artificial Intelligence

191 Enrolled

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At a Glance

Name: Build a Chatbot to Analyze PDF Documents Using LLM
Rating: 4.5 (24 reviews)
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In this project, you'll build a chatbot using Flask, LangChain and Large Language Model (LLM), capable of uploading and interpreting PDF documents. This could be a game-changer when you need quick access to information from extensive documents. For instance, if you're working with machinery and have thousands of pages of confidential instructions, this chatbot could provide immediate access to specific information while ensuring data privacy. Or, imagine having a specialized cookbook for a particular diet. You could quickly look up recipes based on the ingredients you have on hand.

You will also gain a deeper understanding of web application development using Flask and Python and the use of the LangChain framework in interpreting and responding to user inputs.

Here is a screenshot of the chatbot you will build:

Chatbot document assistant

A Look at the Project Ahead

By completing this project, you will:

Understand the basics of LangChain and generative AI applications that use LLM.
Set up a development environment for building a chatbot using Python Flask framework.
Utilize LangChain to integrate the chatbot with the LLM model that gives a high level of intelligence and the ability to understand and respond to user requests.

Offered By: IBMSkillsNetwork

Build a Chatbot to Analyze PDF Documents Using LLM

At a Glance

A Look at the Project Ahead

Instructors