I will build an ai chatbot with openai for your website


About this gig
Every unanswered customer question is a lost sale or a support ticket you pay to resolve.
I build AI chatbots that actually know your business: trained on your docs, your FAQs, your pricing, and your tone of voice.
WHAT I BUILD:
- Website chatbots: embedded on any site, with a custom persona
- RAG chatbots: answer questions from PDFs, Notion, URLs, or databases
- Lead capture bots: qualify, collect, and push leads directly to your CRM
- Support bots: handle Tier 1 tickets with human escalation logic
- Multi-channel: WhatsApp, Telegram, Slack, or custom React widget
TECH STACK:
OpenAI GPT-4o · LangChain · Pinecone / Supabase / Chroma · FastAPI · React
HOW IT WORKS:
Define use case ingest your knowledge sources build RAG pipeline build chat interface test for accuracy deploy.
WHY ME:
I'm a full-stack developer. The chatbot I build isn't a no-code wrapper it's a real production system with a backend API, a vector database, and a frontend you actually control.
All chatbots include: source citations, hallucination reduction, conversation logs, and a handoff trigger when the bot can't answer.
Message me your use case and I'll scope it before you order.
Get to know Subhan Farrakh
AI Automation Developer, n8n Workflow, API Integration, Full Stack Web Dev
- FromPakistan
- Member sinceMay 2024
- Last delivery8 months
Languages
English, German, Spanish
FAQ
What is RAG and why does my chatbot need it?
RAG (Retrieval-Augmented Generation) lets the chatbot search your specific documents or website before answering. Without it, the bot only knows what GPT-4o was trained on. With RAG, it answers accurately based on your actual content.
Which platforms can I embed the chatbot on?
Any website (WordPress, Webflow, Wix, Shopify, custom HTML) via an embed script. For chat apps: WhatsApp Business API, Telegram Bot API, Slack. I can also build a standalone React widget.
How do I update the chatbot's knowledge after delivery?
I deliver with a simple re-ingestion pipeline. You drop new documents into a folder (Google Drive, Notion, or S3) and run a script — or I can make it fully automatic on a schedule.
Will the chatbot remember what users said in previous sessions?
The Smart RAG Bot tier includes within-session memory. Full AI Assistant includes persistent cross-session memory stored per user ID, so the bot recalls past conversations.
How do you prevent the chatbot from making things up?
I use strict system prompting, source-grounded responses with citations, confidence thresholds, and fallback escalation. If the bot isn't sure, it says so and offers to connect the user to a human.
Can the chatbot capture leads and send them to my CRM?
Yes. I build lead capture flows into the conversation and push collected data (name, email, need) to HubSpot, GoHighLevel, Airtable, or any CRM with an API.
