Retrieval-Augmented Generation (RAG) enables LLMs to access external knowledge. This guide covers RAG implementation using Chinese models, including embedding selection, vector database setup, and retrieval optimization techniques.
Key Takeaways
- Embedding model selection
- Vector database options
- Chunking strategies
- Retrieval optimization
- Context window management
- Evaluation metrics