I will build ai agent, rag pipeline, and llm app using langchain ,openai ,fastapi

LangGraph is an extension of LangChain that adds state management and cyclical workflows, allowing agents to make decisions, loop back, and handle multi-step complex tasks reliably. It is the production standard for AI agents in 2025 — pure LangChain agents break on complex tasks, LangGraph doesn't.

A regular chatbot answers only from the AI model's training data. A RAG (Retrieval-Augmented Generation) pipeline lets the AI search your specific documents, database, or knowledge base before answering — giving accurate, up-to-date answers grounded in YOUR data. Perfect for company wikis, product Q

I work with OpenAI GPT-4o, Anthropic Claude, Meta LLaMA 3, Mistral, and Groq (for ultra-fast inference). I'll recommend the best model for your use case and budget — for example, Groq+LLaMA is 10x cheaper than GPT-4o for high-volume apps.

All deliveries are production-ready. I deploy on AWS, Azure, GCP, or your VPS with a FastAPI backend, proper error handling, logging, and rate limiting. You receive a live URL — not just a Jupyter notebook that only runs on my machine.

Yes — you receive 100% of the source code, a README with setup instructions, architecture diagram, and environment config files. I also include 7 days of free post-delivery support. Ongoing maintenance retainers are available if needed.