Embedding Pipeline overview

Embedding Pipeline as a cross-cutting topic — the end-to-end flow from raw documents through chunking, embedding model inference, and vector store ingestion. Covers batch embedding for initial corpus loading vs streaming embedding for real-time document updates, embedding model selection (OpenAI ada-002, Cohere embed-v3, open-source models like E5, BGE, GTE), dimensionality trade-offs, normalization strategies, and pipeline orchestration patterns for keeping embeddings synchronized with source documents as they change.