PDF Data Indexing in RAG Pipeline (Part 1) of Gen AI | API using Express.js + Multer + pdf-parse скачать в хорошем качестве

PDF Data Indexing in RAG Pipeline (Part 1) of Gen AI | API using Express.js + Multer + pdf-parse

In this video, we're diving into the PDF Data Indexing step of the RAG (Retrieval-Augmented Generation) pipeline of Generative AI Application! What’s covered in this video: 1. Initial Express.js project setup 2. Handling PDF file uploads using Multer 3. Converting uploaded PDFs to text with pdf-parse 4. Creating a REST API to handle incoming PDF data Preparing for vector database indexing (to be continued in the next video!) This is a foundational step before we start storing and querying the data in a vector database for use in our Generative AI application. Resources & Links: Website: https://geekashram.in Related Articles : https://geekashram.in/articles/introd... https://geekashram.in/articles/introd... Tools & Libraries used: 1. Express.js 2. Multer (for handling PDF uploads as form-data) 3. pdf-parse (for extracting text from PDF) Next video: We’ll cover how to chunk the extracted text and store it in a vector database for efficient semantic search. If you're enjoying this series on building a full RAG pipeline, don’t forget to like, subscribe, and drop a comment with your questions or feedback. #RAGPipeline #PDFIndexing #ExpressJS #Multer #pdfparse #GenerativeAI #VectorDatabase #NodeJS #AIProject #GeekAshram #aitools #rag #python #llm #mernstackproject #genaiinjs #geekashram #aiinhindi #aiproject #ankitsirgeekashram