Korean Q&A RAG System Development
Budget: $1,500 – $3,000 USD
I need a Retrieval-Augmented Generation (RAG) system built on Mac Studio to assist in research tasks using DeepSeek LLM. The system will utilize a FileMaker database primarily containing text documents.
Requirements:
- The system should accurately answer user queries in Korean.
- Utilize DeepSeek LLM specifically for question answering.
- Efficiently retrieve and utilize text documents from FileMaker.
Ideal Skills and Experience:
- Proficiency in building RAG systems.
- Experience with DeepSeek LLM and FileMaker.
- Strong understanding of Korean language processing.
- Familiarity with Mac Studio development environments.
Requirements:
- The system should accurately answer user queries in Korean.
- Utilize DeepSeek LLM specifically for question answering.
- Efficiently retrieve and utilize text documents from FileMaker.
Ideal Skills and Experience:
- Proficiency in building RAG systems.
- Experience with DeepSeek LLM and FileMaker.
- Strong understanding of Korean language processing.
- Familiarity with Mac Studio development environments.