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


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.
Senior AI Developer, Senior Full Stack Developer, SaaS Expert
- FromChina
- Member sinceMay 2024
Languages
Chinese, English
