You will get a secure RAG AI knowledge base and multi-agent system for your business
Project details
You don't need a basic ChatGPT wrapper; you need a secure, production-ready AI system that actually understands your business data. I am a senior AI engineer and the founder of Taprobana Studios, specializing in building enterprise-grade Retrieval-Augmented Generation (RAG) pipelines and Multi-Agent Systems (MAS).
What sets this project apart is our strict focus on data privacy and architectural rigor. We do not just blindly send your sensitive documents to public APIs. We engineer highly accurate, hallucination-free AI systems that securely search your internal knowledge base and provide cited, verifiable answers.
Whether you need a custom internal chatbot, an automated customer support workflow, or a complex multi-agent system that routes tasks dynamically, we build the entire pipeline. We utilize state-of-the-art frameworks like LangChain and LlamaIndex, paired with Vector Databases (Pinecone/Milvus), and integrate with your choice of OpenAI, Anthropic, or completely secure Local LLMs.
Hand off your requirements, and my team will deliver clean, scalable AI infrastructure. Let's transform your raw data into a secure enterprise asset.
What sets this project apart is our strict focus on data privacy and architectural rigor. We do not just blindly send your sensitive documents to public APIs. We engineer highly accurate, hallucination-free AI systems that securely search your internal knowledge base and provide cited, verifiable answers.
Whether you need a custom internal chatbot, an automated customer support workflow, or a complex multi-agent system that routes tasks dynamically, we build the entire pipeline. We utilize state-of-the-art frameworks like LangChain and LlamaIndex, paired with Vector Databases (Pinecone/Milvus), and integrate with your choice of OpenAI, Anthropic, or completely secure Local LLMs.
Hand off your requirements, and my team will deliver clean, scalable AI infrastructure. Let's transform your raw data into a secure enterprise asset.
AI Algorithms
Large Language Model, Linear Discriminant Analysis, Long Short-Term Memory Network, Multimodal Large Language ModelAI Applications
AI Chatbot, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Medical Imaging, AI-Generated Music, Automatic Speech Recognition, Conversational AI, Facial Recognition, Image Recognition, Image-to-Image Translation, Natural Language Generation, Text RecognitionAI Development Language
PythonAI Tools
Hugging FaceAI Models
BERT, ChatGPT, DALL-E, GPT-3, GPT-4, GPT-J, GPT-Neo, LLaMA, Midjourney AI, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$150
|
Standard
$550
|
Advanced
$1,950
|
|---|---|---|---|
| Delivery Time | 10 days | 30 days | 70 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.
Live Cloud Deployment
(+ 3 Days)
+$300Frequently asked questions
About Kusal
Full-Stack & AI Engineer | React, Spring Boot, Node.js, Python
Kandy, Sri Lanka - 12:10 am local time
What I Do Best:
-Develop full-stack web apps using React, Spring Boot, Node.js, and TypeScript
-Build and integrate AI-powered systems using RAG (Retrieval-Augmented Generation) and LLMs
-Create clean, maintainable, and scalable RESTful APIs and backend services
-Design intuitive UI/UX with responsive front-end architecture
-Automate workflows and optimize system performance with Python scripting
What I Bring:
-Strong understanding of software architecture, databases, and microservices
-Experience connecting AI models to real-world web applications
-Focus on quality, performance, and reliability
-Excellent communication and a problem-solving mindset
I love turning ideas into reality — from concept to deployment — and helping businesses leverage AI and modern web tech to achieve real results.
Let’s build something amazing together.
Steps for completing your project
After purchasing the project, send requirements so Kusal can start the project.
Delivery time starts when Kusal receives requirements from you.
Kusal works on your project following the steps below.
Revisions may occur after the delivery date.
Architecture & Data Strategy
We define the vector database schema, document chunking strategy, and multi-agent routing logic based entirely on your specific data structure.
RAG Pipeline & LLM Integration
I build the secure data ingestion pipeline, implement semantic search, and integrate your chosen LLM (OpenAI, Claude, or Local) with strict source citations.