You will get an AI ready knowledge base for RAG or document search
Project details
I will prepare your documents, public sources, PDFs, files, or approved knowledge-base material for AI search, RAG, document Q&A, or chatbot ingestion.
This project is best for teams that have useful documents but need clean chunks, metadata, source references, retrieval-ready JSONL, evaluation questions, and QA notes before connecting the material to a vector database or AI application.
Depending on the package, your delivery can include a source inventory, cleaned text, chunk manifest, metadata schema, CSV/JSONL exports, retrieval evaluation questions, citation-ready source references, QA notes, and handoff documentation.
I do not invent missing facts, bypass private systems, or claim that a chatbot is accurate without testing. If a source is unclear, restricted, low quality, or not suitable for RAG, I will flag it before continuing.
This project is best for teams that have useful documents but need clean chunks, metadata, source references, retrieval-ready JSONL, evaluation questions, and QA notes before connecting the material to a vector database or AI application.
Depending on the package, your delivery can include a source inventory, cleaned text, chunk manifest, metadata schema, CSV/JSONL exports, retrieval evaluation questions, citation-ready source references, QA notes, and handoff documentation.
I do not invent missing facts, bypass private systems, or claim that a chatbot is accurate without testing. If a source is unclear, restricted, low quality, or not suitable for RAG, I will flag it before continuing.
AI Development Type
Knowledge RepresentationAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$699
|
Standard
$2,200
|
Advanced
$6,500
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 12 days |
Number of Revisions | 1 | 2 | 2 |
AI Model Integration | - | - | - |
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | |
Model Documentation | |||
Ontology | - | ||
Source Code | - | - | - |
Taxonomy |
Optional add-ons
You can add these on the next page.
Additional Revision
+$150
Retrieval Eval Set
(+ 2 Days)
+$500Frequently asked questions
About Kareem
Custom Software Developer | Apps, Automation & AI-Enabled Tools
Lisle, United States - 6:22 am local time
I bring more than eight years of IT and systems experience from university and financial-enterprise environments, including supporting technology used by an organization with more than 1,500 users. I also have a computer science degree, three published apps on the Apple App Store, and a growing portfolio of independent software projects.
I build custom applications, workflow automations, internal tools, API integrations, web scrapers and crawlers, data systems, websites, and specialized utilities. I am equally open to complete app, game, and web-development projects—not only automation work.
My strongest fit is a project where a business has too much repetitive work, too many disconnected steps, a process that has outgrown spreadsheets, or an idea that needs to become a practical, usable application.
My enterprise background has made me especially careful about privacy, documentation, operational reliability, and dependable handoff. I also make extensive use of modern AI-assisted development tools, including tools I have built myself. Where useful, I design software with MCP or other agent-ready interfaces so AI systems can operate it, connect it with other applications, or incorporate it into a larger workflow.
Whether the project is a focused automation, an internal business system, a customer-facing application, or a more experimental software product, my goal is to understand the real problem and build something that saves time, works reliably, and remains useful after delivery.
Steps for completing your project
After purchasing the project, send requirements so Kareem can start the project.
Delivery time starts when Kareem receives requirements from you.
Kareem works on your project following the steps below.
Revisions may occur after the delivery date.
Review documents and use case
I review the documents, source URLs, output goal, metadata needs, and target RAG or AI search workflow.
Extract and clean source text
I extract usable text, remove obvious noise, preserve source references, and identify sections or records that should become chunks.