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Understanding the Rerank Stage in Industrial RAG Pipelines

Retrieval-Augmented Generation (RAG) systems and modern search engines rely on multiple stages to retrieve the most relevant information for a user query. One critical component in these pipelines is Rerank, a stage designed to improve the precision of retrieved results.

Query Rewrite in RAG Systems: Why It Matters and How It Works

In Retrieval-Augmented Generation (RAG) systems, many developers focus heavily on embeddings and vector databases. However, in real-world production systems, one of the most critical components is often overlooked:

Retrieval Strategy Design: Vector, Keyword, and Hybrid Search

This article explains how to design a modern retrieval strategy for AI systems, especially Retrieval-Augmented Generation (RAG). The focus is not only on definitions, but on engineering trade-offs, system architecture, and practical defaults.