I will build a custom rag chatbot ai agent using langchain, llama, openai
AI Agent Developer RAG Chatbots Power BI Expert Data Analytics
About this Gig
Are you looking for a production-ready AI chatbot or intelligent agent that actually understands your data?
I am an AI/ML Engineer with 4+ years of experience building LLM-powered applications including RAG systems, AI agents, and NLP pipelines for clients across UAE, UK, and Pakistan.
What I deliver:
RAG pipelines grounded on your PDFs, databases, or internal docs (FAISS / Chroma vector stores)
AI agents with tool use, multi-step reasoning, and autonomous task execution (LangChain / ReAct)
Domain-specific chatbots powered by OpenAI API, LLaMA, or Mistral
FastAPI backend + REST deployment (Docker-ready)
Memory, conversation history, and source citations included
Proven work:
I built a cricket trading intelligence RAG system integrating live Betfair exchange data and match state for real-time strategy queries. I have also shipped RAG pipelines for finance, legal, and e-commerce clients.
Tech stack:
LangChain · FAISS · Chroma · OpenAI / LLaMA / Mistral · FastAPI · Python · Docker · HuggingFace
All packages include source code, documentation, and a short walkthrough video.
Message me before ordering I will confirm scope and delivery time.
Frameworks:
Scikit-learn
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Google ML Kit
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Keras
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PyTorch
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Panda
Data type:
Code
Programming language:
Python
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R
•
SQL
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Colab
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NoSQL
My Portfolio
Other Data Science & ML Services I Offer
FAQ
Which LLM models do you support?
OpenAI GPT-4/3.5, LLaMA 2/3, Mistral, and any HuggingFace model. I will recommend the best fit for your budget and use case.
Can you connect the chatbot to my existing database or website?
Yes. I can ingest data from PostgreSQL, PDFs, URLs, or REST APIs and expose the chatbot via a FastAPI endpoint for easy frontend integration.
Will the chatbot remember previous conversations?
Yes — Standard and Premium packages include conversation memory using LangChain's memory modules.
Do you provide the source code?
Yes, all packages include full Python source code, a README, and setup instructions. No black-box deliveries.
What if I need hosting help?
The system is Docker-ready so it can be deployed to any VPS, AWS EC2, GCP, or Railway. I can guide you through deployment as an add-on.

