I will build ai system backend using langchain and fastapi


Sobre este Serviço
Need a smart backend that can understand, search, and generate? I build production-ready AI APIs using FastAPI, LangChain, LlamaIndex, and vector databases so your app can talk to documents, search knowledge bases, and power intelligent agents.
What you get:
- Custom FastAPI backend with async endpoints
- LLM integration
- RAG pipeline: document ingestion chunking embedding vector search
- Vector store setup
- LangChain / LlamaIndex agents and chains
- Clean, documented code with Docker support
My process:
- Discuss your use case and data sources
- Design the architecture and select tools
- Build and test the backend locally
- Deploy-ready delivery with documentation
Why work with me:
I specialize in AI backend systems not generic web dev. Every project is built with scalability and clean architecture in mind. Fast response, clear communication, and code you can actually maintain.
Ready to add AI to your product? Message me your requirements before ordering I'll confirm the scope and timeline so we hit the ground running.
Conheça mais sobre Hary C
Building the invisible engine behind great apps
- A partir deIndonésia
- Membro desdeout. de 2025
Idiomas
Indonésio, Javanês, Inglês
Meu portfólio
Perguntas frequentes
Can you work with my existing database or documents?
Yes. I can connect to your PostgreSQL, MySQL, or ingest PDFs/Word/docs into the vector store.
Which LLM providers do you support?
OpenAI, Anthropic Claude, Google Gemini, Cohere, Groq, HuggingFace.
Do you provide deployment support?
I prepare your backend for deployment with Docker and environment configuration, but server setup and hosting management are handled by you or your infrastructure team. I'll make sure the code runs perfectly on your local machine and give you clear deployment instructions.
What if I need changes after delivery?
Revisions are included per package. Additional changes can be discussed as gig extras.
Is my data safe with you?
Absolutely. I follow best practices for API security and never store your proprietary data.
