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Fiverr Pro
English
$
USD
I will build an ai chatbot with rag, langchain, openai and custom knowledge base
Hamza A
About this gig
Stop Shipping Wrappers. Start Shipping Real SaaS.
While others wrap an API and call it a product, I build SaaS platforms with AI, RAG, and voice agents as core features. Not bolted-on widgets. Not chatbot popups. Actual platforms your users keep using.
I don't just develop AI, I engineer unfair advantages.
WHAT I DO
- AI Web Integration: Embedding LLMs (GPT-5, Claude, Llama) into your existing SaaS or custom web apps.
- Custom AI Agents: Intelligent agents that perform tasks, browse the web, and execute logic.
- RAG Development: Connecting AI to your private data for hyper-accurate, hallucination-free knowledge bases.
- Voice & Chat Automation: Building human-like Voicebots and Chatbots that handle sales and support 24/7.
- Full Stack Development: Handling everything from the frontend UI to the backend API and AI logic.
WHY THIS MATTERS FOR YOU
A founders sleepless nights depend on the systems I create. My goal is to move you from working in your business to working on it.
TECH STACK
Python, LangChain, OpenAI, Pinecone (RAG), React/Next.js, API Integrations
Ready to turn your "what if" into "what's next?" Message me today and lets architect your freedom.
Portfolio: https://hamzaali.dev
Get to know Hamza A
Hamza A
Software Architect, Cloud Infrastructure DevOps
- FromPakistan
- Member sinceMay 2026
- Avg. response time1 hour
Languages
Urdu, English, German
I am a Software Engineer with 8+ years of experience building scalable web and hybrid mobile applications. My expertise includes AI-powered systems, RAG pipelines, and MCP servers. I have led high-performing engineering teams and focus on delivering maintainable, secure, and high-performance clean architecture.
My Portfolio
FAQ
What LLMs and AI models do you work with?
I work with GPT-5, GPT-4o, Claude (Anthropic), Llama, and Mistral. The right choice depends on your accuracy needs, budget, and whether you want a hosted API or self-deployed model. For privacy-sensitive use cases, I deploy open-source models on your own infrastructure.
Can the chatbot answer from my company's documents?
Yes, that is what RAG does. I process your PDFs, Notion pages, Google Docs, or website content into a vector database like Pinecone or Supabase. The chatbot answers using only your content, with no hallucinations and no generic outside answers.
Do you connect the chatbot to my CRM or helpdesk?
Yes. I integrate with HubSpot, Salesforce, GoHighLevel, Intercom, Zendesk, Slack, and WhatsApp. The chatbot can read user data, create tickets, log conversations, and trigger automated workflows. If your tool has an API, I can connect it.
What is the difference between a regular chatbot and a RAG chatbot?
A regular chatbot answers from general training data and often invents details. A RAG chatbot retrieves answers from your private knowledge base first, so it stays accurate. For SaaS support or internal tools, RAG is the correct choice. I will tell you which fits your case.
Do I own the source code, and do you handle hosting?
You own everything. Source code, API keys, and data all stay with you. I deploy on Vercel, AWS, Supabase, or your preferred infrastructure. I can handle full deployment as part of the project, or hand it off for your team to deploy. No vendor lock-in.
Can the chatbot work across website, WhatsApp, and Slack?
Yes. I build the AI core once and deploy it across channels. Your website widget, WhatsApp business number, Slack workspace, Discord server, or mobile app can all share the same chatbot logic and conversation memory. One system, multiple front-ends.
