I will build ai apps using llm, rag and knowledge graphs


About this gig
I provide AI development services focused on building practical, production-ready applications powered by large language models (LLMs). My expertise includes developing custom AI chatbots, retrieval-augmented generation (RAG) systems, and knowledge graph-based solutions for real business use cases such as customer support, e-commerce, and content automation.
I can design and implement intelligent systems that integrate LLMs with structured data sources like MySQL or Neo4j, enabling more accurate, context-aware, and explainable responses. I also build automation pipelines for tasks such as product content generation, data processing, and workflow optimization using Python, prompt engineering, and agent-based architectures.
In addition, I have experience creating recommendation systems and semantic search applications that combine graph-based reasoning with modern AI models to improve performance and relevance. My goal is to help businesses reduce manual workload, improve decision-making efficiency, and deploy scalable AI solutions that go beyond simple chatbots and deliver real operational value.
Get to know Lai J
AI Development Engineer
- FromChina
- Member sinceMay 2026
- Avg. response time1 hour
Languages
English
FAQ
What kind of AI assistant can you build?
I can build custom AI assistants tailored to your needs, including customer support assistants, FAQ assistants, business automation assistants, or data-driven AI systems powered by LLMs like GPT. The assistant can be integrated into your website or internal workflow.
Can the AI assistant use my own data?
Yes. I can integrate your data such as documents, FAQs, or databases using a RAG (Retrieval-Augmented Generation) system so the AI assistant can provide accurate and context-aware responses based on your specific information.
What technologies do you use?
I use Python, OpenAI API (or other LLMs), prompt engineering, and optionally frameworks like LangChain, vector databases, or Neo4j depending on the project requirements.
How long does it take to complete the project?
Basic AI assistant projects are usually delivered within 2–3 days. More advanced systems such as RAG-based or knowledge-driven assistants may take 5–10 days depending on complexity.
Can I request changes after delivery?
Yes. Each package includes a number of revisions. Additional changes can also be provided if needed to ensure the AI assistant meets your requirements.
