Building ChatPDF with LangChain

Are you ready to unlock the full potential of ChatGPT and revolutionise how your organisation understands and interacts with your data? Learn how LangChain uses ChatGPT to make querying external resources a breeze, whether it's PDFs, emails, Confluence, and so much more!


Following my last post on talking with a PDF file https://lnkd.in/eim2TFkg, here is a deeper dive into how to utilise LangChain to build your own personalised context-aware chat bot!


Here's how it works: First, LangChain processes your PDF file, transforming it into a structured text format, so that it can be chunked as PDF files tend to be large, and have the embeddings generated. Next, you input your query using everyday language, such as asking a question or describing what you're looking for.


LangChain then uses similarity search algorithms to compare and provide results based on how closely related your query and the content extracted from the PDF. It's like having a smart assistant that understands your questions and finds the exact answers you need!


To help you visualise the process, I have prepared a handy flow diagram that illustrates the step-by-step journey of LangChain in action. Stay tuned for the upcoming post where I’ll walk you through the entire flow!


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