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

┌─────────────┐    ┌─────────────┐    ┌─────────────┐
│   Loader    │───▶│ Preprocessor │───▶│   Chunker   │
└─────────────┘    └─────────────┘    └─────────────┘