You will get a custom AI chatbot using RAG for your business documents
Project details
Are you tired of AI chatbots that invent facts? I build custom AI assistants that know your business inside and out.
As a Computer Science researcher specializing in NLP and applied AI, I design enterprise-grade chatbots using RAG (Retrieval-Augmented Generation). The AI doesn't guess—it actively searches your specific PDFs, wikis, or databases before answering.
Why choose this project?
• Zero Hallucinations: Through strict prompt engineering, the bot answers ONLY based on your documents.
• Smart Data Processing: I use advanced text chunking and vector embeddings (Pinecone/Chroma) to ensure accurate semantic retrieval.
• Full-Stack Delivery: Depending on your tier, you get a robust backend API (Node.js/Python) and a clean web interface (Next.js), not just a basic script.
• Research-Backed Quality: My academic background in NLP ensures your model is optimized for maximum accuracy.
Whether you need an internal knowledge-base assistant or a smart customer support bot, I deliver a clean, scalable AI solution. Let's turn your static data into an interactive AI agent!
As a Computer Science researcher specializing in NLP and applied AI, I design enterprise-grade chatbots using RAG (Retrieval-Augmented Generation). The AI doesn't guess—it actively searches your specific PDFs, wikis, or databases before answering.
Why choose this project?
• Zero Hallucinations: Through strict prompt engineering, the bot answers ONLY based on your documents.
• Smart Data Processing: I use advanced text chunking and vector embeddings (Pinecone/Chroma) to ensure accurate semantic retrieval.
• Full-Stack Delivery: Depending on your tier, you get a robust backend API (Node.js/Python) and a clean web interface (Next.js), not just a basic script.
• Research-Backed Quality: My academic background in NLP ensures your model is optimized for maximum accuracy.
Whether you need an internal knowledge-base assistant or a smart customer support bot, I deliver a clean, scalable AI solution. Let's turn your static data into an interactive AI agent!
AI Algorithms
Convolutional Neural Network, Feedforward Neural Network, Large Language Model, Transformer ModelAI Applications
AI Chatbot, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, Hugging Face, PyTorch, TensorFlowAI Models
BERT, ChatGPT, GPT-3, GPT-4, LLaMA, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$150
|
Standard
$350
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 4 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | - | |
Model Documentation | - | ||
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | - | |
Natural Language Processing | |||
NLP Tokenization | - | ||
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $150
Additional Revision
+$40
Web Scraping / Live Data Pipeline
(+ 2 Days)
+$150
Premium Custom Web Interface
(+ 3 Days)
+$200Frequently asked questions
About Selman
Full-Stack AI Engineer | NLP, Next.js, Node.js
Istanbul, Turkey - 11:30 pm local time
Core Expertise:
- Applied AI & NLP: Text classification, sentiment analysis, recommender systems, and custom LLM/RAG pipelines (PyTorch, Hugging Face, Scikit-learn).
- Backend & API Architecture: Scalable microservices, REST/GraphQL APIs, and robust data pipelines (Node.js, NestJS, Python, PostgreSQL, MongoDB).
- Frontend & Mobile Integration: Building seamless, user-centric interfaces for complex AI features (Next.js, React, Flutter).
Whether you need a sophisticated enterprise question-answering assistant, a recommendation engine, or a full-stack platform built from the ground up, I deliver clean architecture and high-performance solutions. Let's build a smart, scalable product together.
Steps for completing your project
After purchasing the project, send requirements so Selman can start the project.
Delivery time starts when Selman receives requirements from you.
Selman works on your project following the steps below.
Revisions may occur after the delivery date.
Data Ingestion & Preprocessing
I will extract, clean, and intelligently chunk the text from your provided documents or URLs to prepare the data for the AI model.
Vector Database & Embeddings
I will convert your text chunks into high-quality vector embeddings and store them securely in a vector database (like Pinecone or Chroma) for fast semantic retrieval.