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I will build a custom rag ai chatbot for your website
Shahzaib S
About this gig
Stop losing customers because your website cannot answer questions or capture leads in real time.
I will build a powerful AI chatbot for your website trained on your business data, PDFs, FAQs, and website content using advanced RAG (Retrieval-Augmented Generation).
This is not a basic chatbot it is an intelligent AI assistant that provides accurate responses based on your actual business knowledge.
AI chatbot trained on your data
Lead generation (name, email, phone, user intent)
Admin dashboard & chat logs
Real-time conversation tracking
WordPress, Shopify, Next.js & custom website integration
Secure scalable backend deployment
Advanced AI Stack:
RAG Architecture
LangChain / LangGraph
FastAPI Backend
PostgreSQL Database
OpenAI, Claude & Ollama Support
Pinecone / Qdrant / pgvector
Perfect for businesses, agencies, SaaS products, customer support, and AI startup MVPs.
Message me before ordering to discuss your project requirements.
Get to know Shahzaib S
Shahzaib S
Generative AI Engineer and Full Stack Web Developer
- FromPakistan
- Member sinceMar 2022
- Last delivery1 year
Languages
Urdu, English
Hey, I'm Shahzaib. I'm a developer specializing in bridging the gap between modern web development and Generative AI.
With a strong foundation in building high-performing, SEO-optimized websites (both custom code and WordPress), I know how to build platforms that actually rank and convert. Now, I specialize in taking those platforms to the next level by integrating custom AI solutions, LLMs, and RAG pipelines.
Whether you need a lightning-fast web app from scratch, a complex WordPress build, or a custom AI chatbot trained on your business data, I build scalable solutions that work.
My Portfolio
FAQ
What makes LangGraph better than a standard AI chatbot?
Standard chatbots follow rigid, linear lines and break easily. A LangGraph agent uses cyclic state machines and conditional routing. This lets the agent think, loop back, self-correct errors, use custom tools, and maintain strict business rules without hallucinating.
How does the token-protected Admin Dashboard work?
It’s an isolated, secure control panel accessible only via your secret admin key. From this dashboard, you can monitor live chat transcripts, view automatically captured sales leads, analyze usage metrics, and update the agent’s knowledge base instantly.
How does the automated Lead Capture feature track clients?
As the agent chats with visitors, it naturally extracts explicit details like names, emails, and project requirements. It immediately logs this data into a persistent PostgreSQL database and can trigger an automated email notification straight to your inbox.
Can I update the agent's knowledge base without coding?
Yes! You don't have to touch a single line of backend Python code. You simply log into your Admin Dashboard, drag and drop your updated company PDFs or .txt documents into the RAG uploader, and the agent's memory updates across the live site instantly.
Will this work on my WordPress site or custom Next.js theme?
Absolutely. I deliver the frontend interaction layer as a highly optimized, responsive script widget. It can be embedded natively into your corporate WordPress theme layout or cleanly integrated directly into any modern React/Next.js component workflow.
Can this run completely offline using local LLMs?
Yes. If you have strict data privacy constraints, I can configure the entire FastAPI backend to process semantic data locally using open-source models via Ollama (like Llama 3 or Mistral) running securely on your private server infrastructure.
Do I need to buy expensive vector database subscriptions?
No. For standard deployments, I utilize high-performance, lightweight vector indexing solutions like ChromaDB or serverless database structures that operate completely free within your application framework layer, saving you massive infrastructure costs.
