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English
$
USD
I will build enterprise rag chatbots and openai assistant agents
Zeeshan
About this gig
Are you missing sales because you cannot answer customers 24/7?
Modern customers expect instant answers. Basic, script-following chatbots frustrate users. You need an intelligent assistant that understands your business and handles complex tasks like booking appointments or taking calls.
I build highly autonomous OpenAI RAG Chatbots and Vapi Voice Agents.
By utilizing Retrieval-Augmented Generation (RAG), I train the AI exclusively on your business data. This ensures highly accurate, context-aware answers. I deploy this intelligence as a text chatbot or a fully automated phone receptionist capable of semantic extraction.
What I Build:
- Custom Knowledge Base (RAG): AI trained on your specific documentation.
- Voice AI Receptionists: Automated inbound/outbound calling via Vapi.
- Calendar Integration: Seamless appointment checking and booking.
- Multi-Channel: Deployment across Web, WhatsApp, or Voice.
Tech Stack: OpenAI (GPT-4o), Vapi, n8n.
Let's build your AI employee. Please send me a message before placing an order to review your data sources and outline your agent's capabilities.
Get to know Zeeshan
Zeeshan
Self Hosted n8n Architecture, OpenAI Agent Orchestration, Lovable Vercel Front
- FromPakistan
- Member sinceJan 2020
Languages
English
AI Automation Engineer specialising in self-hosted n8n infrastructure, OpenAI Agent Orchestration (Assistants API, Function Calling, RAG), and AI-native Frontend Development (Lovable, Bolt, Vercel/Next.js). I build production-grade data pipelines, RAG knowledge bases, AI lead qualification pipelines, and CRM sync engines—not "no-code templates." Stack: Self-hosted n8n (Docker/K8s), OpenAI Assistants/Assistants API, Supabase/Postgres, Vercel, Lovable.dev, Bolt.new. I deliver production infrastructure, not templates. Message me with your architecture requirements before ordering.
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FAQ
Do you use LangChain or the native OpenAI Assistants API?
Both architecturally. For managed RAG, tool calling, and threads, we use the Assistants API. For complex multi-agent graphs and custom retrievers, we use LangGraph. I select the right tool for your specific application.
Can you connect the agent to my CRM or database for write actions?
Yes. Standard packages include 3 Function Calling tools. Premium builds a secure tool gateway with explicit approval workflows and audit logs so agents can safely execute actions.
How do you handle hallucinations and citation accuracy?
We combine hybrid search with Cohere Reranking and chunk-level citations. I also ship an evaluation harness (RAGAS/DeepEval) so you can test and measure accuracy under load.
What infrastructure do I need to provide?
You will need a Postgres database (like Supabase or Neon) and an OpenAI API key. I provide Docker Compose files for all self-hosted ingestion and gateway components.
