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In this page Pdf Document Q&a (rag) project is a desktop application which is developed in Python platform. This Python project with tutorial and guide for developing a code. Pdf Document Q&a (rag) is a open source you can Download zip and edit as per you need. If you want more latest Python projects here. This is simple and basic level small project for learning purpose. Also you can modified this system as per your requriments and develop a perfect advance level project. This project can edit using a Visual Studio Code IDE. Following Python project contains all the important features which can be in use for the BE, BTech, MCA, BCA, Engineering, Bs.CS, IT, Software Engineering, Computer Science students and Devloper for their college projects. This script developed by Ayush Pal. This desktop application 100% working smooth without any bug. It is developed using NA and Database FAISS Vector Store. This software code helpful in academic projects and research paper for final year computer science. To download Pdf Document Q&a (rag) project in Python with source code files, please scroll down to the bottom of this page for the Download Zip file of source code button.
| project Name | Pdf Document Q&a (rag) |
| Project Complexity | advanced |
| Duration | 10 Days |
| project ID | 13260 |
| Developer Name | Ayush Pal |
| Publish Date | March 10, 2026 |
| project Platform | Python |
| Programming Language | For this particular Python project, NA is required |
| Front End | CLI Terminal Interface |
| Back End | Python, LangChain, OpenAI Embeddings, FAISS |
| IDE Tool | Visual Studio Code |
| Database Integration | FAISS Vector Store |
| project Type | desktop Application |
| No of project Download | 0 |
| project Total View | 15 |
| Today Trends | 16 |
| Current Month Trends | 16 |
| Last Month Trends | 0 |
You have any error or you don't understand project follow or any other problem.You can ask question. you know any answer or solution then give a answer and help other student.Complete they project perfectly.
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Download Pdf Document Q&a (rag) source code at free of cost. Download link provide below.
Download CodeAfter you finish downloading the project, unzip the project file.
Step 1 : Download and extract the zip file to your desired folder
Step 2 : Install Python 3.10 or later from python.org
Step 3 : Open Visual Studio Code and click File -> Open Folder -> select extracted folder
Step 4 : Open terminal in VS Code by clicking Terminal -> New Terminal
Step 5 : Run command: pip install langchain langchain-openai faiss-cpu pypdf
Step 6 : Open file 02_pdf_document_qa.py and replace YOUR_OPENAI_API_KEY_HERE with your real API key
Step 7 : Set PDF_PATH variable to your PDF file path then run: python 02_pdf_document_qa.py
Step 1 : This project uses FAISS as an in-memory vector database — no installation needed
Step 2 : Prepare any PDF file you want to query
Step 3 : Place the PDF file in the same folder as the Python script
Step 4 : Open 02_pdf_document_qa.py and update PDF_PATH = "your_document.pdf" with your filename
Step 5 : Run the program — FAISS index is built automatically from your PDF on every run
Downloading the Pdf Document Q&a (rag) project from Kashipara is a best choice for students, beginners, and developers looking for a reliable, well documented, and ready to use project in Python.
Creating diagrams like Class Diagrams, Use Case Diagrams, Entity–Relationship (ER) Diagrams, Data Flow Diagrams (DFD), and Sequence Diagrams is essential for designing and understanding software systems. Here’s a proper guide to help you get started with each type:
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