R · RAG · reranker

RAG

Retrieval-Augmented Generation. The pattern under helpcode Knowledge Base and Troubleshooting.

In one sentence

Retrieval-Augmented Generation (RAG) is the pattern where, for each user query, the system first retrieves the most relevant passages from a knowledge base and then prompts a language model to answer using only those passages.

When it matters

Whenever answers must be grounded in a citable source, or when the corpus changes more often than you can fine-tune.

A real-world example

helpcode Knowledge Base is a hybrid RAG system: retrieval fuses semantic + keyword search, a reranker reorders the top-50, and the LLM answers using the top-12 chunks — always with attribution.

Curated by helpcode research team · Last reviewed 2026-05-22