You will get an AI chatbot with document analysis (RAG system)


Project details
I will build an AI chatbot that can answer questions based on your documents or data.
This includes:
Upload documents (PDF, text, etc.)
Convert them into searchable knowledge
Chat interface to ask questions
Fast and accurate AI responses
Ideal for:
Customer support bots
Internal knowledge systems
Document Q&A tools
Built using modern AI tools and optimized for performance and scalability.
This includes:
Upload documents (PDF, text, etc.)
Convert them into searchable knowledge
Chat interface to ask questions
Fast and accurate AI responses
Ideal for:
Customer support bots
Internal knowledge systems
Document Q&A tools
Built using modern AI tools and optimized for performance and scalability.
Programming Languages
JavaScript, Python, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 3 | 6 | Unlimited |
Number of Pages | 1 | ||
Design Customization | |||
Content Upload | |||
Responsive Design | |||
Source Code | - | - |
About Elisabeth
AI Full Stack Engineer | Next.js, Node.js, OpenAI APIs
Lagos, Nigeria - 2:53 am local time
As an AI Full Stack Engineer, I help startups and businesses turn ideas into production-ready SaaS products using modern tools like Next.js, Supabase, and LLM integrations.
What I can build for you:
AI chatbots and assistants (GPT-based, RAG systems)
Full-stack SaaS platforms (frontend + backend + database)
Automation tools and intelligent workflows
Secure APIs and authentication systems
Real-time dashboards and data-driven apps
I don’t just build features — I build systems that are:
Scalable (cloud-ready, optimized architecture)
Reliable (clean backend logic, proper data handling)
Secure (JWT auth, API protection, input validation, encryption)
Tech I use:
Next.js, React, Node.js, Supabase, PostgreSQL, Docker, AWS, Vercel
AI: OpenAI APIs, RAG, vector databases (Pinecone, Supabase Vector)
If you need an AI-powered product built properly from idea to deployment, I can help.
Let’s discuss your project.
Steps for completing your project
After purchasing the project, send requirements so Elisabeth can start the project.
Delivery time starts when Elisabeth receives requirements from you.
Elisabeth works on your project following the steps below.
Revisions may occur after the delivery date.
Analyze documents/data
Build ingestion pipeline (PDF → embeddings)


