Data & AI

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What Is a RAG Evaluation Model?
A RAG evaluation model scores retrieval and generation separately, so you catch bad answers in testing instead of hearing about them from an annoyed user.
What is a RAG Pipeline? The Four Stages Explained
A RAG pipeline turns documents into answers in four stages, and every stage is a chance for retrieval and permissions to fail while everyone blames the model.
What is a Vector Database?
Vector databases retrieve by meaning, not keywords, and building that layer once keeps every AI feature from starting over.
Vector Search Isn't Enough - Why Single-Strategy Retrieval Breaks at Scale
Vector-only retrieval misses exact terms, relationships and use-case-specific context, so multi-layer indexing and per-experience retrieval configuration decide whether agentic RAG stays trustworthy at scale.

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