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ai guide

knowledge-pipeline: A Six-Layer Pipeline for RAG Quality Control

A six-layer deterministic pipeline that handles everything from URL ingestion to vector embedding automatically, filtering out garbage before it enters your RAG system through an eight-dimension scoring system.

ai guide

BGE-M3: Why This Embedding Model Works Well for Traditional Chinese RAG

Your choice of embedding model directly determines RAG search quality. BGE-M3's multilingual training, 1024-dimensional vectors, and matching Reranker make it a practical pick for Traditional Chinese RAG.