You will get Convert PDFs/Docs Into Clean RAG Knowledge Base (Chunks + Q/A)
Project details
I will convert your PDF documents into a clean, structured RAG-ready knowledge base. Raw PDFs often contain noise—headers, broken lines, inconsistent spacing, and unrelated content—that weaken retrieval quality. I remove all noise, extract meaningful information, and convert it into semantic chunks with titles, tags, and optional Q/A pairs. The final dataset is delivered in CSV or JSON format and ready to be used with vector databases, embeddings, or your GPT-powered assistant. This ensures accurate retrieval, better responses, and a strong foundation for your AI system.
What's included
| Service Tiers |
Starter
$60
|
Standard
$150
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 3 days | 4 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages Mined/Scraped | 25 | 80 | 160 |
Number of Sources Mined/Scraped | 1 | 1 | 1 |
Frequently asked questions
About Muhammad Ali
AI Training Data Specialist | RAG & Chatbot Data
Karachi, Pakistan - 5:53 am local time
I specialize in preparing clean, structured, safe datasets for AI applications - especially chatbots
, RAG (Retrieval-Augmented Generation) knowledge bases, and LLM fine-tuning.
Most developers can build the model.
Most founders have documents.
But very few people can prepare the DATA properly.
That's where I come in.
I run ClearFrame Data Lab, a micro-studio focused 100% on:
* Organizing complex documents
* Cleaning raw text
* Building structured datasets (CSV, JSON, Sheets)
* Safety filtering harmful content
* Chunking and formatting for embeddings
* Generating Q/A pairs for chatbots
* Turning messy content into knowledge bases
If your AI system gives inconsistent answers or your knowledge base is chaotic, I fix that.
EXPERTISE
1. AI Training Data Preparation
* Clean & restructure raw datasets
* Remove duplicates, junk, repeated content, and noise
* Normalize tone, grammar, readability
Steps for completing your project
After purchasing the project, send requirements so Muhammad Ali can start the project.
Delivery time starts when Muhammad Ali receives requirements from you.
Muhammad Ali works on your project following the steps below.
Revisions may occur after the delivery date.
PDF Review & Extraction
I review your PDF, extract the text, remove headers/footers, and check the document for formatting issues.
Cleaning & Normalization
I clean the extracted text by fixing spacing, removing noise, merging broken lines, and preparing it for chunking.