A comprehensive reference guide for selecting and optimizing embedding models for vector search and RAG applications. Covers model comparisons (OpenAI, Voyage, BGE, E5), chunking strategies (token-based, sentence-based, semantic), domain-specific pipelines, and retrieval quality evaluation metrics.
EmbeddingsVector SearchRag+3