Query Rewriting and Expansion Basics
Query rewriting and expansion are advanced Retrieval-Augmented Generation (RAG) techniques that enhance information retrieval by reformulating or broadening user queries. Query rewriting involves rephrasing or clarifying the original query to improve search relevance, while expansion adds related terms or concepts to capture more pertinent results. These methods help RAG systems retrieve more accurate and comprehensive information, ultimately improving the quality and context of generated responses in complex question-answering scenarios.
Query Rewriting and Expansion Basics
Query rewriting and expansion are advanced Retrieval-Augmented Generation (RAG) techniques that enhance information retrieval by reformulating or broadening user queries. Query rewriting involves rephrasing or clarifying the original query to improve search relevance, while expansion adds related terms or concepts to capture more pertinent results. These methods help RAG systems retrieve more accurate and comprehensive information, ultimately improving the quality and context of generated responses in complex question-answering scenarios.
💡 Key Takeaways
- Understand what query rewriting and expansion are and why they improve search results.
- Practice practical rewriting techniques: synonyms, related terms, paraphrase, and phrase matching to expand a query.
- Learn when to expand (broaden results) versus rephrase to refine results, and how to balance recall and precision.
- Develop a simple evaluation approach to assess rewritten queries for relevance and reduce noise or drift.
❓ Frequently Asked Questions
What is query rewriting?
Modifying a user’s query to improve search results without changing the intended meaning, using paraphrase, normalization, or simplification.
What is query expansion?
Adding extra terms to a query to cover related concepts, synonyms, or broader terms, increasing recall.
What techniques are commonly used for rewriting and expansion?
Techniques include synonym replacement, stemming/lemmatization, paraphrase generation, stopword handling, and relevance-based expansion from feedback or knowledge graphs.
How can rewriting and expansion affect results?
Rewriting can improve precision by clarifying intent; expansion can increase recall but may introduce noise if not tuned, so balance and evaluation are important.