Hybrid Search and Re-Ranking: Improving RAG Accuracy Beyond Semantic Search
By
Priyansh Bhardwaj
Summary
The article discusses the limitations of semantic search in Retrieval-Augmented Generation (RAG) systems, illustrated through a real-world example where a knowledge assistant returned technically accurate but irrelevant information about exponential backoff instead of the specific custom retry policy the user needed. It explores hybrid search approaches that combine semantic and keyword-based retrieval, along with re-ranking techniques, to improve the accuracy and relevance of RAG-powered systems in production environments.
Source
bskyHybrid Search and Re-Ranking: Improving RAG Accuracy Beyond Semantic Searchtowardsdatascience.comKey quotes
· 3 pulledThe system returned a three-paragraph response about exponential backoff with jitter. All of it was accurate but none of it was what she asked for.
When semantic search isn't enough for the RAG
we got a complaint from one of our platform engineers of the infrastructure team that our internal knowledge assistant is confidently giving the wrong answers
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