Self-RAG explained: how self-reflective retrieval boosts AI outputs

What this post added

This post introduces Self-RAG, an evolution of RAG that incorporates self-reflection and iterative retrieval to improve factual accuracy and reduce hallucinations. It details how Self-RAG uses special tokens for retrieval and critique, its benefits in question answering and fact verification, and its limitations regarding cost and complexity. Meilisearch is positioned as a high-performance retrieval engine within Self-RAG systems, emphasizing its low-latency retrieval and hybrid search capabilities for building robust RAG pipelines.