You will get an AI chatbot using your data (PDF, docs, RAG system)
Project details
You will get a custom AI chatbot that can answer questions using your own data such as PDFs, documents, websites, or internal knowledge bases.
I build advanced chatbot systems using Retrieval-Augmented Generation (RAG), allowing the AI to retrieve relevant information from your data and generate accurate, context-aware responses. This makes it ideal for business knowledge bases, customer support automation, and internal tools.
With strong experience in backend development and AI systems, I focus on delivering reliable, scalable, and easy-to-use solutions tailored to your needs.
I build advanced chatbot systems using Retrieval-Augmented Generation (RAG), allowing the AI to retrieve relevant information from your data and generate accurate, context-aware responses. This makes it ideal for business knowledge bases, customer support automation, and internal tools.
With strong experience in backend development and AI systems, I focus on delivering reliable, scalable, and easy-to-use solutions tailored to your needs.
AI Algorithms
Convolutional Neural Network, Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI Text-to-Image, AI-Enhanced Classification, AI-Generated Art, Conversational AI, Natural Language Generation, Natural Language Understanding, Text RecognitionAI Development Language
PythonAI Tools
GitHub Copilot, Gradio, Hugging Face, Jasper AI, Microsoft 365 Copilot, Replit, StreamlitAI Models
BERT, ChatGPT, DALL-E, GPT-3, GPT-4, GPT-Neo, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$50
|
Standard
$120
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
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
+$30 - $100Frequently asked questions
About Wasaba Eranga
AI & Backend Engineer | Node.js, Python, FastAPI | Full Stack (React)
Meegoda, Sri Lanka - 11:06 pm local time
I specialise in:
• REST API development using Node.js and FastAPI
• AI and LLM integrations and intelligent systems
• Vector databases and semantic search systems
• Real-time systems using modern technologies
• Database design using MongoDB, PostgreSQL, and MySQL
• Performance optimisation and scalable architecture
I have built and maintained production systems supporting over 10,000 users, focusing on performance, security, and reliability.
Recent work includes:
• AI-powered chatbot and automation systems
• Document intelligence platforms
• Full-stack applications using React and Node.js
• API integrations with external services
I also develop cross-platform mobile applications using Flutter and React Native when required.
I focus on writing clean, maintainable code and delivering reliable solutions that meet real business needs.
Let’s discuss how I can help with your project.
Steps for completing your project
After purchasing the project, send requirements so Wasaba Eranga can start the project.
Delivery time starts when Wasaba Eranga receives requirements from you.
Wasaba Eranga works on your project following the steps below.
Revisions may occur after the delivery date.
Understand requirements
Review your needs, chatbot goals, and data sources to plan the solution.
Build RAG chatbot
Develop the chatbot, connect your data, and implement AI response logic.