From BM25 to Multi-Vector: Six Evolutionary Paths of Embedding
This public account mainly focuses on cutting-edge AI technologies such as NLP, CV, LLM, RAG, and Agent, sharing practical industry cases and courses for free, helping you fully embrace AIGC. 1. Sparse Embedding (Keyword-based Sparse Vectors) Dimension Description Typical Implementations TF-IDF, BM25, SPLADE Vector Shape 50,000+ dimensions, >95% of positions are 0 Similarity Calculation Cosine … Read more