Built reliable AI apps with RAG pipelines, evals, structured outputs, and human-in-the-loop guardrails—while managing cost and context efficiently.
AI Agent Application with RAG and Tool Integration
- Creating advanced AI agents for practical applications
- Built a TypeScript AI agent with OpenAI integration, retrieval-augmented generation, and persistent memory
- Implemented dynamic tool execution framework, CLI interface, and React dashboard with Vite
- Integrated vector database for document retrieval and created comprehensive evaluation system
This project demonstrates the development of a robust AI agent system, combining modern LLMs, RAG pipelines, tool integration, and user interfaces for real-world use cases.