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I will build an ai customer support agent and rag chatbot trained on your data
Moiz A
Level 2
Über diesen Service
Your customers want instant, correct answers. I will build an AI customer support agent and RAG chatbot trained on your own documents, website and help desk, so it answers with sources and hands hard cases to your team.
What you get:
- RAG chatbot trained on your docs, PDFs, website and past tickets
- Answers with source links, so customers can trust them
- Works on your website, WhatsApp, email and help desk
- Takes actions: order lookups, refunds, bookings, ticket creation
- Smart handover to a human agent with the full conversation
- Analytics on top questions, resolution rate and content gaps
Built with: OpenAI or Claude, LangChain or LlamaIndex, vector databases (Pinecone, Supabase, Qdrant), n8n, MCP servers, Zendesk, Intercom, Freshdesk and Shopify.
How it works:
- Discovery: your support volume, top questions and tools
- I build the knowledge base, agent and integrations
- Testing on real tickets before launch
- Go live, then monthly improvements as your business changes
Monthly management plan available (automation as a service): new content, accuracy reviews and new automations.
Message me before ordering so I can scope the right package.
Lerne Moiz A kennen
Moiz A
Senior Full Stack Developer
Level 2
- AusPakistan
- Mitglied seitMai 2020
- ⌀ Antwortzeit1 Stunde
- Letzte Lieferung2 Tage
Sprachen
Englisch, Urdu, Punjabi
I am a Senior Full Stack Developer with experience spanning web, apps, and Web3 product development.
Skilled across the full stack: React, Next.js, Vue.js, and TypeScript on the front end; Node.js, Express.js, & PHP on the back end; and MySQL/MariaDB alongside MongoDB & GraphQL-based data layers.
I build responsive, wallet-connected App frontends and integrate smart contracts using ethers.js, viem, and wagmi, handling transactions, signing, and on-chain state. Do REST/GraphQL APIs and indexers (The Graph) that bridge on-chain and off-chain data for dashboards and analytics.
Mein Portfolio
FAQ
What is a RAG chatbot?
RAG means the AI searches your own content before it answers. It replies from your documents with source links instead of guessing, which keeps answers accurate.
What data can it learn from?
Website pages, PDFs, Google Docs, Notion, help center articles, past tickets and product catalogs. Content can sync automatically when it changes.
Is my data safe?
Your data stays in your own accounts and vector database. I only use the access you grant, and I can follow your security and privacy requirements.
Which AI model do you use?
OpenAI, Claude or Gemini, chosen for your budget, language and accuracy needs. You can switch models later without rebuilding.
What does it cost to run each month?
You pay the AI model and hosting providers directly, usually based on usage. I estimate the monthly cost for your ticket volume before we start.
What is the monthly management plan?
I review conversations, fix wrong answers, add new content and build new automations every month. Ask me for a subscription offer.
