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I will build a python multi agent ai system with langgraph and langchain
Rizki H
About this gig
Need more than a chatbot? I build complete multi-agent AI systems in Python, where specialized agents plan, research, use tools and work together to finish real business tasks end to end.
Built with LangGraph and LangChain:
- Supervisor or hierarchical agent architectures with clear routing
- Stateful graphs with memory, checkpoints and retries
- Custom tools: APIs, databases, web search, files and code execution
- RAG agents grounded in your own documents
- Human-in-the-loop approval before critical actions
- Streaming responses and tracing for easy debugging
Example systems:
- Research and report-writing agent teams
- Support triage with specialist agents and escalation
- Data analysis agents that query databases and summarize results
- Sales or operations assistants connected to your internal tools
What you get:
- Clean, modular Python code you fully own
- FastAPI backend and Streamlit or web UI (by package)
- Setup guide, documentation and tests
Works with OpenAI, Claude, Gemini or local models via Ollama.
Please message me before ordering so I can understand your workflow and design the right agent architecture.
Get to know Rizki H
Rizki H
Lead Data Scientist, RAG, AI Agents and Python Automation
- FromSri Lanka
- Member sinceNov 2026
- Avg. response time1 hour
Languages
Tamil, English, Sinhala, Urdu, Hindi
Lead Data Scientist (M.Sc. Data Science, NUST) building AI systems that are reliable in real business use.
I help businesses with:
• RAG assistants that answer from your documents, with verifiable citations
• Multi-agent AI workflows in Python using LangGraph and LangChain
• Python automation: web scraping, reports, APIs and bots
Background in Machine Learning, Deep Learning, LLMs, Computer Vision and Decision Sciences, with data-driven projects delivered on Fiverr and Upwork.
You get clean, documented code, clear communication and support after delivery. Message me to discuss your project.
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FAQ
Why LangGraph instead of a simple chatbot?
LangGraph lets agents follow controlled, stateful workflows with branching, retries, memory and human approval steps, so complex multi-step tasks run reliably instead of relying on one long prompt.
Is it built only in Python?
Yes. Everything is custom Python code using LangGraph and LangChain, with no no-code platforms, so you get full control, version control and no per-run platform fees.
Which AI models can the agents use?
OpenAI, Claude, Gemini or local models via Ollama. Each agent can even use a different model to balance cost and quality. You provide your own API keys.
Can you deploy the system for me?
Yes. The Production package includes a FastAPI backend, Docker setup and deployment to your cloud (AWS, GCP, Azure, Render or similar). Other packages can add deployment as an extra.
