I will build ai agents, rag chatbots and llm automation


About this gig
Professional AI Agents, RAG & LLM Automation
Need a reliable AI system that actually works with your business data and workflow? Neuro.Forge builds custom AI solutions using LLMs, RAG, AI agents, and intelligent automation.
I can develop and integrate:
- AI Agents & intelligent workflows
- RAG-powered chatbots and knowledge assistants
- Custom LLM applications and API integrations
- Document Q&A and semantic search
- Vector database & knowledge-base integration
- AI-powered business automation
- Custom backend APIs and AI integrations
My development stack includes GPT, Llama, LangChain, Python, TypeScript, JavaScript, React, vector databases, APIs, and modern AI architectures.
Whether you need AI added to an existing application, a RAG system trained on your business knowledge, or an advanced AI agent with tools and automation, I focus on clean architecture, reliable functionality, scalable implementation, and maintainable source code.
Choose the package that matches your project, or message me before ordering for a custom AI solution.
Get to know Neuro.Forge
AI Engineer, ML, Deep Learning, LLM, RAG and Automation Expert
- FromPakistan
- Member sinceJan 2026
- Avg. response time1 hour
Languages
English
My Portfolio
FAQ
What type of AI solutions can you build?
I build AI agents, RAG chatbots, knowledge assistants, LLM applications, document Q&A systems, semantic search solutions, AI integrations, and automated AI workflows.
Can you integrate AI into my existing application?
Yes. I can integrate LLMs and AI capabilities into existing web applications, software, APIs, and business systems while preserving the existing architecture where practical.
Can you build a RAG chatbot using my documents?
Yes. I can create RAG systems that process your approved documents or knowledge sources, generate embeddings, retrieve relevant information, and provide context-aware responses.
Which AI models do you work with?
I work with modern LLM ecosystems including GPT and Llama, along with frameworks such as LangChain. The model and architecture are selected according to your project's requirements.

