I will build a rag ai agent with langchain langgraph and fastapi

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Yuanhui Q.

About this gig

Need a reliable RAG system or AI agent instead of a basic chatbot demo? I will build a practical LLM application using LangChain, LangGraph, FastAPI, vector databases, and your preferred model provider.

Possible deliverables include:

Document ingestion, chunking, embeddings, and retrieval

RAG chat with citations and source references

Tool calling and external API integrations

Multi-step LangGraph agent workflows

Memory, guardrails, logging, and evaluation

REST APIs, simple web interfaces, and Docker deployment

I can work with OpenAI, Anthropic, Gemini, Llama, pgvector, Pinecone, Qdrant, Weaviate, or another suitable stack.

Please contact me before ordering so I can review your data sources, integrations, accuracy expectations, and deployment environment. Model usage, cloud, and third-party subscription fees are not included.

Get to know Yuanhui Q.

Yuanhui Q.

Senior AI Developer, Senior Full Stack Developer, SaaS Expert

  • FromChina
  • Member sinceMay 2024
  • Languages

    Chinese, English
⭐ Senior AI & Full-Stack Developer specializing in AI SaaS, RAG, Agents, and cloud-native applications. 🎓 Tsinghua University Computer Science graduate. 💼 Experience: 🤖 MiniMax — LLM training systems & model evaluation 🧠 Alibaba Tongyi — Large model benchmark platform ☁️ Alibaba Cloud — Kubernetes infrastructure & cloud-native systems 🛠️ Services: 🚀 AI SaaS & MVP Development 🤖 RAG / LangChain / LangGraph Agents 💻 React / Next.js / FastAPI Applications ⚙️ n8n / Dify AI Automation ☁️ Docker / Kubernetes Deployment I build scalable AI products from idea to production.

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