I will build a rag chatbot and ai knowledge base from your documents

L
leiyang_dev
L
leiyang_dev
Lei
build a rag chatbot and ai knowledge base from your documents
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build a rag chatbot and ai knowledge base from your documents

About this gig

Turn your PDFs, docs, and website content into an AI assistant that answers

  questions with source citations. I build RAG pipelines in Python (LangChain

  or LlamaIndex) with vector databases (pgvector, Qdrant, Pinecone), powered

  by OpenAI, Claude, or open-source models.


  You get: a working chatbot (web UI, Slack bot, or API), answers with

  citations, and deployment to your server or cloud.


  Why work with me: 13 years in backend engineering, shipping production LLM

  apps RAG knowledge bases, agents, and automation with clear written

  English and honest estimates.

  • Application Type

    • Web Application

  • AI Type

    • Chat
    • Productivity Tools

  • Programming Language

    • Go
    • JavaScript
    • Python
    • TypeScript
    • SQL

  • Web Frameworks

    • React
    • Vue.js
    • Flask
    • Other

  • Desktop Frameworks

    • Other

  • No & Low-Code Builders

    • Other

Get to know Lei

Lei

Full Stack Developer Go Python AI Agents

  • FromChina
  • Member sinceAug 2026

  • Languages

    Chinese, English
I'm a full-stack developer with 13 years of experience — 8 building high-concurrency game backends in Go and Python. WHAT I DO BEST • AI — LLM agents, function calling, RAG chatbots (Python, LangChain) • Backends — Go/Python APIs, MySQL/Redis, Docker, serverless • Full-stack — React/Vue frontends on solid backends RESULTS • Migrated a live game from Python to Go — 4x capacity, Redis -50% • Core dev on a $14M+ annual revenue game • Shipped LLM agents end to end, plus open-source agent infra GitHub: github.com/NinjaSln-labs Hours 10:00–22:00 (GMT+8), EU+US overlap.

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