Knowledge Base Cleaner

Prepare your documents for RAG (Retrieval Augmented Generation). Upload PDFs or paste text to remove artifacts, fix formatting, and get clean Markdown.

Input Source

Upload a PDF or paste raw text below.

Click to upload PDF or Text file

Clean Output

Optimized for LLM training.

What is the Knowledge Base Cleaner?

The Knowledge Base Cleaner is a utility designed to optimize text documents for Retrieval-Augmented Generation (RAG). It takes messy inputs—like PDFs with weird line breaks, page numbers, and headers—and scrubs them into clean, structured Markdown. This ensures your AI agent can read and retrieve information without getting tripped up by formatting artifacts.

How to prepare documents for RAG

  1. Select your source: Choose a PDF file from your computer or paste raw text from a website or document.
  2. Run the cleaner: Click "Clean & Format" to process the text.
  3. Review the output: Check the "Clean Output" panel to see the optimized text. Notice how line breaks are fixed and headers are formatted.
  4. Download or Copy: Save the result as a Markdown file (.md) or copy it to your clipboard to paste into your Agent One knowledge base.

Frequently Asked Questions

Why do I need to clean my data for AI?

Raw text from PDFs or scraped websites often contains formatting errors (like broken line breaks, page numbers, or headers) that can confuse AI models. Cleaning this data improves the accuracy of retrieval (RAG) and reduces hallucinations.

What file formats are supported?

Currently, you can upload PDF files or paste plain text directly. The tool will output clean, formatted Markdown.

Does it handle scanned PDFs?

The current version works best with text-based PDFs. For scanned images or handwritten notes, please use our Handwritten Notes Converter tool.