Generate Vector Embeddings Using LangChain

Learn to generate vector embeddings from the PDF document and storing them using LangChain.

Introduction

Before creating the API endpoint, let's make a script ready that will load a PDF document and the script is able to answer the questions asked. We will be using a node package langchain to implement the question-answer over document. LangChain is an open-source framework designed to simplify the creation of applications powered by LLMs like GPT-3 and others. As discussed, we will use Nvidia's freely available PDF document on transformers as our dataset.

Below is a simple flow to implement the script:

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