Production RAG best practices: pipeline optimization, failure handling, testing strategies, and common pitfalls to avoid.
Last updated
80% of RAG failures trace back to the ingestion and chunking layer, not the LLM. See Section 31 for the complete deep dive with code examples and architecture diagrams.
Related
Retrieval-Augmented Generation (RAG) architecture explained: ingestion pipeline, vector search, prompt augmentation, and production patterns.
Document processing for RAG pipelines: PDF parsing, OCR, table extraction, and multi-modal document understanding.
Text chunking strategies for RAG: fixed-size, semantic, recursive, and document-aware chunking with performance comparisons.
Embedding models and vector indexing for RAG: choosing embeddings, HNSW vs IVF, dimensionality, and index optimization.
Get full access to all 87+ sections with code examples, diagrams, and interactive animations.
Unlock Premium