LLM & RAG Systems
OpenAI, Gemini, Anthropic, NVIDIA NIM. Knowledge bases, document Q&A, multi-step agents.
What this service solves
I build LLM-powered systems that reason over your real data. RAG pipelines over your documents, multi-step agents that use tools, and structured output pipelines that turn unstructured text into usable data.
What the system can include
- RAG over your documents
- OpenAI, Gemini, Anthropic, NVIDIA NIM
- Multi-step tool-using agents
- Structured JSON output
- Memory & context management
From workflow to working system
- 1. Map the operation. We identify the manual steps, tools, edge cases, and measurable result.
- 2. Agree on the engagement. Choose a fixed-price scope or hourly work based on how defined the requirements are.
- 3. Build and verify. The system is tested against the real workflow, then delivered with source code and documentation.