I will build a custom ai agent system using langchain and langgraph


About this gig
I build production-grade multi-agent AI systems using LangChain and LangGraph not just chatbots, but intelligent workflows that reason, analyze, and make decisions.
What I deliver:
- Multi-agent systems with parallel execution and cross-validation
- RAG pipelines for document analysis and Q&A
- Tool-integrated agents (APIs, databases, web search)
- Custom prompt engineering for your domain
- LangSmith monitoring and observability setup
Tech stack: LangChain, LangGraph, Claude/GPT API, Tavily, ChromaDB, Streamlit, Python
I work best on projects where domain knowledge matters finance, compliance, risk, data analysis. But I'm open to any LangChain/LangGraph project.
Let's discuss your requirements first. Message me with your use case.
Get to know Fei Wang
Risk Management Director and AI Developer:Python, N8N, AI Agents
- FromChina
- Member sinceFeb 2026
- Avg. response time2 days
Languages
Chinese, English
My Portfolio
FAQ
What's the difference between LangChain and LangGraph?
LangGraph adds state management, parallel execution, and conditional routing — essential for multi-agent systems where agents need to work together.
Can you integrate with my existing data sources and API
Yes. I've integrated Wind financial terminals, AKShare, Tavily search, and REST APIs. I can connect to databases, internal APIs, cloud services, or any data source your project needs.
What do I get as deliverables?
documented Python code on GitHub, a working system with tests, configuration guide, and a walkthrough session.

