Embedding Pipeline Builder Build production-ready document embedding and retrieval pipelines. Core Workflow 1. Load documents : Ingest from various sources 2. Preprocess text : Clean and normalize 3. Chunk documents : Split into optimal sizes 4. Generate embeddings : Create vector representations 5. Index vectors : Store in vector database 6. Optimize retrieval : Tune for accuracy Pipeline Architecture Document Loading Multi-Source Loader Web Loader Text Preprocessing Text Chunking Smart Chunker Semantic Chunker Embedding Generation Complete Pipeline Best Practices 1. Chunk size : Balance con…