Build a query understanding pipeline for RAG systems. ## Query Types {{query_types}} ## Domain Context {{domain_context}} ## Understanding Goals {{understanding_goals}} Implement query understanding: ```python class QueryUnderstandingPipeline: def parse_query(self, query: str) -> ParsedQuery: """ Extract: - Intent - Entities - Constraints - Context references """ pass def expand_query(self, parsed: ParsedQuery) -> ExpandedQuery: """ Expansion: - Synonyms - Related concepts - Implicit requirements """ pass def classify_complexity(self, query: str) -> ComplexityLevel: """Simple, moderate, or complex""" pass def generate_search_queries(self, expanded: ExpandedQuery) -> List[str]: """Generate optimized search queries""" pass ``` Include: - Entity linking - Coreference resolution - Query rewriting - Confidence scoring
Query Understanding Pipeline
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Build a query understanding pipeline with parsing, expansion, complexity classification, and optimized search query generation.
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CodingUse Cases
Query understandingIntent extractionSearch optimization
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claude-sonnet-4-20250514gpt-4o
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