I will build a rag knowledge base for your documents and ai

E
endtoend_ai_lab
E
endtoend_ai_lab
Xinhai Z
build a rag knowledge base for your documents and ai
build a rag knowledge base for your documents and ai
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build a rag knowledge base for your documents and aibuild a rag knowledge base for your documents and aibuild a rag knowledge base for your documents and aibuild a rag knowledge base for your documents and aibuild a rag knowledge base for your documents and aibuild a rag knowledge base for your documents and ai

About this gig

我会为你的文档和人工智能构建一个生产准备的RAG（检索增强生成）知识库。


包含内容

- 文档接收与清理：PDF、Word、CSV、网页等

- 向量嵌入和语义搜索以实现准确检索

- 自定义聊天界面，团队可以立即使用。

- 用于插入现有应用的API后端

- 部署文档和一次培训

- 完整源代码，提供7天后支持期


为什么是我

我专注于LLM的微调和RAG系统。每个项目都是围绕你的数据、用例和预算构建的。你得到的是一个用文档来回答的系统，而不是泛泛的AI猜测。


你收到

- 针对你领域量身定制的工作RAG知识库

- 干净、有文档的代码，你可以维护和扩展

- 一个攻略，让你的团队准确知道如何使用它

- 分娩后支持，确保没有遗漏


告诉我你的文档和你想解决的问题我会帮你规划合适的设置。

  • AI engine

    • Mistral AI
    • Meta Llama
    • Hugging Face

  • Tools & frameworks

    • LlamaIndex

  • AI solution type

    • Rag system

  • Purpose

    • Knowledge management

Get to know Xinhai Z

Xinhai Z

LLM Fine Tuning and RAG Specialist

  • FromChina
  • Member sinceOct 2026
  • Avg. response time1 hour

  • Languages

    English
I am an AI engineer specializing in end-to-end LLM solutions. I fine-tune open-source models such as Qwen and Llama using LoRA and QLoRA, build RAG knowledge bases, clean and prepare training datasets, and deploy private models for production. My workflow covers the full pipeline: data cleaning, fine-tuning, merging, GGUF quantization, testing, and deployment. I also deliver OCR pipelines, knowledge graphs, and specialized domain models such as Traditional Chinese Medicine. Every delivery includes rigorous testing and clear documentation.

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