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I will build powerful ai chatbots with rag and llms
Tahir Rafique
About this gig
Build Powerful AI Chatbots with RAG, LLMs & Custom Knowledge Integration
Looking to build an intelligent chatbot that understands your business, documents, or products? I specialize in developing custom AI chatbots powered by modern Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
Whether you need a chatbot for customer support, internal tools, or product knowledge, I can deliver a scalable and production-ready solution.
What I Offer:
- AI Chatbots using OpenAI, Gemini, Claude, or Local LLMs (Ollama / LLaMA)
- RAG-based systems to answer from your documents (PDFs, knowledge base, etc.)
- Context-aware multi-turn conversations
- FastAPI-based backend APIs
- Secure and private local LLM deployment (no external APIs required)
- Vector databases (pgvector, Pinecone, etc.) for semantic search
Key Features:
- Accurate, domain-specific answers (no generic responses)
- Reduced hallucination using RAG architecture
- Chat history & session management
- Scalable and clean backend architecture
- Docker-based deployment (optional)
Use Cases:
- Customer support chatbot
- Product documentation assistant
- Internal company knowledge bot
- FAQ automation
- SaaS AI assistant
Get to know Tahir Rafique
Tahir Rafique
Backend Engineer and AI Developer
- FromPakistan
- Member sinceJan 2025
- Avg. response time1 hour
Languages
English
I am a Senior Backend and AI Developer specializing in building robust, production-ready backend architectures and integrating advanced AI capabilities. I bridge the gap between AI engineering and core backend infrastructure, ensuring your applications are fast, secure, and production-grade.
My Portfolio
FAQ
What kind of chatbot can you build?
I can build a wide range of AI chatbots, including customer support bots, product assistants, internal knowledge bots, and SaaS AI assistants. These can be powered by OpenAI, Gemini, Claude, or fully local LLMs depending on your requirements.
Can the chatbot answer from my documents (PDF, website, etc.)?
Yes. I specialize in RAG (Retrieval-Augmented Generation) systems that allow the chatbot to answer directly from your documents such as PDFs, manuals, or knowledge bases with high accuracy.
Do you support private or offline AI solutions?
Absolutely. I can deploy fully local LLMs using tools like Ollama, ensuring your data stays private and does not rely on external APIs.
What technologies do you use?
I primarily use Python, FastAPI, PostgreSQL (pgvector), and modern AI models like OpenAI, Gemini, Claude, and LLaMA. I also support Docker-based deployments.
Will the chatbot support conversation history?
Yes. I build chatbots with multi-turn conversation support, meaning the bot remembers context and provides more natural, human-like responses.
Can you integrate the chatbot into my website or app?
Yes. I can provide API-based solutions or guide integration into your website, mobile app, or internal system.
How accurate are the responses?
For domain-specific use cases, I use RAG architecture to ensure responses are grounded in your data, significantly reducing hallucinations and improving accuracy.
Do you provide deployment support?
Yes. I can help deploy the solution on your server using Docker or cloud platforms, depending on your preference.
What do you need from me to get started?
Typically, I need your requirements, use case details, and any documents or data you want the chatbot to use. I can also help you define the best approach.
Can I request custom features?
Definitely. Every project can be tailored to your needs, including advanced features like authentication, analytics, or custom workflows.
