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I will build a python multi agent ai system with langgraph and langchain
Rizki H
Informazioni su questo servizio
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.
Scopri di più su Rizki H
Rizki H
Lead Data Scientist, RAG, AI Agents and Python Automation
- DaSri Lanka
- Membro danov 2026
- Tempo di risposta medio1 ora
Lingue
Tamil, Inglese, Singalese, 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.
Il mio portfolio
Altri servizi della categoria Sviluppo AI offerti da me
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.
