I will build custom llm and rag applications using openai and langchain
Data Scientist, ML Engineer, AI Automation Specialist
Level 2
Has met high performance criteria and has a proven track record for meeting client expectations.
Highly Responsive
Known for exceptionally quick replies
About this Gig
Struggling to build reliable LLM or RAG applications that actually deliver accurate and context-aware responses? Tried different tools or prompts but still facing hallucinations, poor retrieval, or inconsistent outputs?
I help businesses, startups and professionals build custom LLM and RAG applications that transform data into intelligent and scalable AI solutions.
With 5+ years of experience in AI, Machine Learning, NLP and application development, I create optimized workflows that combine Large Language Models with Retrieval-Augmented Generation for better performance and real-world usability.
Services I offer:
- Custom LLM Applications
- RAG Pipelines
- OpenAI Integration
- LangChain Development
- Vector Database Integration
- AI Chatbots & Assistants
- Document Retrieval Systems
- Prompt Engineering & Optimization
Special Offer: Contact me before placing an order and I'll help you choose the right architecture and package for your use case.
Ready to build intelligent AI applications? Send your requirements today and lets turn your idea into a production-ready solution.
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FAQ
What do you need to start the project?
Please share your use case, data source, expected functionality, and any preferred tools or requirements.
Which technologies do you use for LLM and RAG development?
I work with OpenAI, LangChain, Python, vector databases, APIs, and modern AI frameworks based on project requirements.
Can you build custom AI chatbots and document retrieval systems?
Yes. I develop custom AI applications including chatbots, RAG pipelines, document search, and intelligent assistants.
Will the solution be scalable and production ready?
Yes. Solutions are designed for performance, scalability, and practical deployment depending on the selected package.
