I will build custom ai agents and rag with langchain and langgraph


Level 1
Over deze dienst
Looking for an intelligent AI agent or robust RAG system? Message me right now for a free architectural consultation before ordering!
I will build a production-ready, stateful AI chatbot, multi-agent workflow, or RAG application tailored to your business data using LangChain, LangGraph, and Python.
What I can build for you:
- Autonomous AI Agents: Multi-agent systems using LangGraph for complex reasoning and task execution.
- Advanced RAG Apps: Semantic search over your PDFs or databases using hybrid search methods.
- Enterprise Integrations: Custom FastAPI backends connected to vector databases (Pinecone, ChromaDB, FAISS).
- Full-Stack Prototypes: Clean AI backends paired with streamlined Streamlit or React UIs.
Supported Tech & Models:
- LLMs: OpenAI GPT, Claude, Gemini, DeepSeek, Grok, and local models (Ollama, LLaMA).
- Frameworks: LangChain, LangGraph, LlamaIndex.
Why choose me?
- 5+ years of Python and backend development
- Perfect 5.0 rating across 58+ completed orders.
- Clean, modular, production-grade code.
Maak kennis met Sunil Kumar
Python Django AI Developer, Web App Deployment, UI Design, Bug Fixing
Level 1
- Afkomstig uitIndia
- Lid sindsmrt 2023
- Gem. reactietijd1 uur
- Laatste levering1 maand
Talen
Hindi, Engels
Mijn portfolio
Veelgestelde vragen
Which LLM or vector database should I choose for my project?
Don't worry about the technical stack! Message me with your use case, and I will recommend the most cost-effective, high-performance combination of models (OpenAI, Claude, Gemini, or open-source) and vector stores for your app.
Can you build the front-end user interface for the chatbot as well?
Yes. I can build sleek, operational front-ends using Streamlit for fast prototyping, or set up a clean API backend using FastAPI to easily connect to a custom React web or mobile UI.
Do you require API keys or cloud hosting credentials to get started?
Yes, absolutely. For development, I can use my own sandbox environment or guide you on how to securely set up your API keys (like OpenAI or Anthropic) using environment variables (.env files) so your credentials remain completely private.
