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Query Understanding

Turns messy input into precise search intent.

What It Does

Query understanding analyzes user queries to identify intent, extract key concepts, expand terms, and transform the query into a form that maximizes retrieval effectiveness. It may involve query classification, expansion, reformulation, or decomposition into sub-queries.

Why It Matters

Better query understanding leads to more relevant retrievals. By interpreting what users are really asking for, rather than just matching keywords, RAG systems can provide more accurate and helpful responses, especially for complex or ambiguous queries.

Common Challenges

  • Handling ambiguous or underspecified queries from users
  • Balancing query expansion with precision to avoid topic drift
  • Decomposing complex queries into manageable sub-queries
  • Maintaining context across multi-turn conversations
  • Adapting to domain-specific terminology and concepts
  • Recognizing and handling different query types (factual, analytical, creative)

Interactive Demo

queryUnderstanding.queryInput

queryUnderstanding.selectSampleQuery

queryUnderstanding.activeQuery

queryUnderstanding.noQuerySelected

queryUnderstanding.processingConfiguration

queryUnderstanding.configureProcessing

queryUnderstanding.queryRewritingDescription

queryUnderstanding.expandAcronymsDescription

queryUnderstanding.policyCheckDescription

What This Demo Shows

queryUnderstanding.whatThisDemoShows

  • queryUnderstanding.demoPoint1
  • queryUnderstanding.demoPoint2
  • queryUnderstanding.demoPoint3
  • queryUnderstanding.demoPoint4

queryUnderstanding.processingResults

queryUnderstanding.processQueryToSeeResults

queryUnderstanding.selectQueryInstruction

Skip the Complexity

Building a robust Query Understanding solution is challenging. Respeak's Enterprise RAG Platform handles this complexity for you.

Schedule a DemoContact Us
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