RAG guardrails: the foundation of trustworthy AI applications

What this post added

Introduces the concept of RAG guardrails, detailing their necessity, operational stages (pre-retrieval, during retrieval, post-generation), supporting tools, metrics, best practices, and common mistakes. It specifically calls out Meilisearch's role in supporting RAG guardrails through its hybrid search, structured filtering, metadata filtering, and schema-aware indexing for improved contextual grounding and data control.