I will build an ai agent or multi agent system using langchain and langgraph in python


About this gig
Need an AI that does more than answer questions?
I build intelligent agents and multi-agent systems that reason, plan, use tools, and complete real business workflows autonomously.
Using LangChain and LangGraph I design systems where AI agents collaborate, make decisions, retrieve live information, and integrate with your existing data and APIs. From a RAG powered document chatbot to a fully automated multi-agent pipeline, I build it production ready with proper memory, error handling, and clean code.
What you get:
- Custom AI agent or multi-agent workflow built with LangChain or LangGraph
- RAG pipeline with vector database for document or data grounding
- Tool use and API integrations as needed
- FastAPI backend for easy integration into your app
- Full source code with documentation
Message me before ordering to describe your use case. I will tell you the best architecture for your problem.
Get to know Thathsara R
AI ML Engineer
- FromSri Lanka
- Member sinceMay 2026
Languages
English
FAQ
Which LLM do you use?
I work with OpenAI GPT, Google Gemini, Anthropic Claude, and open source models like Llama. You choose based on your budget and preference.
Who pays for LLM API costs?
You do. You provide your own API key and usage costs go to your account. I will help you estimate costs for your use case before we start.
Can the agent connect to my existing database or system?
Yes. Tool integration with external APIs, databases, and services is included in Standard and Premium packages.
What is the difference between a single agent and a multi-agent system?
A single agent handles one type of task. A multi-agent system has specialized agents working together, for example one that retrieves data, one that analyses it, and one that generates a report. Far more powerful for complex business workflows.
Can this work inside my website or app?
Yes. The FastAPI backend included in Standard and Premium means any application can communicate with your agent through a simple API call.
What vector databases do you work with?
Primarily ChromaDB, Pinecone, and Azure Cosmos DB. If you have a preference or are already using something else let me know.
