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On Wed, Sep 24, 2025 at 2:13 PM windwheel <[email protected]> wrote: > > Hello everyone, with the surge of AI, more and more users are accustomed to > asking questions in natural language. However, the current graph computing > languages GQL and Cypher syntax still require users to understand a certain > level of complexity. I found that GeaFlow does not yet support NL2Cypher. I > would like to propose a proposal and hope that you will consider it. > # GeaFlow NL2Cypher Extension > ## Abstract > GeaFlow NL2Cypher extends Apache GeaFlow's existing DSL capabilities to > support natural language to Cypher query translation, enabling users to query > graph databases using plain English instead of complex GQL syntax. > ## Proposal > This proposal extends Apache GeaFlow's distributed streaming graph computing > engine with Natural Language to Cypher (NL2Cypher) translation capabilities. > The extension integrates with GeaFlow's existing DSL architecture to provide > a seamless natural language interface for graph queries > ## Background > Graph databases require specialized query language knowledge, creating > barriers for non-technical users. GeaFlow's current DSL uses a compiler-based > approach with syntax analysis, semantic analysis, and code generation phases. > The existing `GeaFlowDSLParser` provides the foundation for extending to > natural language input > ## Technical Implementation > ### Core Data Structures > **1. NL2Cypher Query Request Structure**```javapublic class NLQueryRequest { > private String naturalLanguage; private String graphSchema; private > Map<String, Object> context; private QueryOptions options;} > public class CypherResponse { private String generatedCypher; private > double confidence; private List<String> alternatives; private > QueryValidationResult validation;}``` > **2. Extended Parser Architecture** > Building on the existing `GeaFlowDSLParser` structure: > ```javapublic class NL2CypherParser extends GeaFlowDSLParser { private > final LLMInferenceEngine llmEngine; private final QueryValidator > validator; public SqlNode parseNaturalLanguage(String naturalLanguage, > GraphSchema schema) { // 1. Preprocess natural language input > NLQueryContext context = preprocessQuery(naturalLanguage, schema); > // 2. Generate Cypher using LLM String cypher = > llmEngine.translateToCypher(context); // 3. Validate generated > query ValidationResult result = validator.validate(cypher, schema); > // 4. Parse to SqlNode using existing infrastructure > return parseStatement(cypher); }}``` > **3. Integration with Existing Query Processing** > The implementation leverages GeaFlow's existing `QueryClient` architecture: > ```javapublic class ExtendedQueryClient extends QueryClient { private > final NL2CypherParser nlParser = new NL2CypherParser(); public > QueryResult executeNaturalLanguageQuery(String naturalLanguage, QueryContext > context) { try { // Extract graph schema from context > GraphSchema schema = extractGraphSchema(context); > // Convert NL to SqlNode SqlNode sqlNode = > nlParser.parseNaturalLanguage(naturalLanguage, schema); > // Use existing execution pipeline return executeQuery(sqlNode, > context); } catch (Exception e) { throw new > GeaFlowDSLException("Error in NL query execution: " + naturalLanguage, e); > } }}``` > ### Architecture Design > **Main Processing Pipeline:**```mermaidgraph TB subgraph "Input Layer" > NL["Natural Language Query"] Schema["Graph Schema Context"] end > subgraph "NL2Cypher Module" Preprocessor["Query Preprocessor"] > LLM["LLM Inference Engine"] Generator["Cypher Generator"] > Validator["Query Validator"] end subgraph "Existing GeaFlow DSL" > Parser["GeaFlowDSLParser"] Context["GQLContext"] > Planner["Query Planner"] end NL --> Preprocessor Schema --> > Preprocessor Preprocessor --> LLM LLM --> Generator Generator --> > Validator Validator --> Parser Parser --> Context Context --> > Planner``` > **4. Graph Schema Integration** > Leveraging existing `GeaFlowGraph` structure: > ```javapublic class NLQueryContext { private final String naturalLanguage; > private final GraphRecordType graphType; private final Map<String, > EntityInfo> entities; private final List<RelationshipInfo> relationships; > public static NLQueryContext from(String query, GeaFlowGraph graph, > RelDataTypeFactory typeFactory) { GraphRecordType graphType = > (GraphRecordType) graph.getRowType(typeFactory); return new > NLQueryContext(query, graphType, extractEntities(query), > extractRelationships(query)); }}``` > **5. Validation Integration** > Building on existing validation infrastructure: > ```javapublic class NL2CypherValidator extends GQLValidatorImpl { > public ValidationResult validateGeneratedCypher(String cypher, GraphSchema > schema) { try { // Parse generated Cypher > SqlNode sqlNode = parser.parseStatement(cypher); // > Validate using existing infrastructure SqlNode validated = > validate(sqlNode); return > ValidationResult.success(validated); } catch (Exception e) { > return ValidationResult.failure(e.getMessage()); } }}``` > ### Module Interaction Sequence > ```mermaidsequenceDiagram participant User participant > ExtendedQueryClient participant NL2CypherParser participant LLMEngine > participant GeaFlowDSLParser participant QueryEngine > User->>ExtendedQueryClient: executeNaturalLanguageQuery("Find John's > friends") ExtendedQueryClient->>ExtendedQueryClient: > extractGraphSchema(context) ExtendedQueryClient->>NL2CypherParser: > parseNaturalLanguage(query, schema) NL2CypherParser->>NL2CypherParser: > preprocessQuery(naturalLanguage, schema) NL2CypherParser->>LLMEngine: > translateToCypher(context) LLMEngine-->>NL2CypherParser: "MATCH (a:Person > {name:'John'})-[:KNOWS]-(b:Person) RETURN b" > NL2CypherParser->>NL2CypherParser: validator.validate(cypher, schema) > NL2CypherParser->>GeaFlowDSLParser: parseStatement(cypher) > GeaFlowDSLParser-->>NL2CypherParser: SqlNode > NL2CypherParser-->>ExtendedQueryClient: SqlNode > ExtendedQueryClient->>QueryEngine: executeQuery(sqlNode, context) > QueryEngine-->>User: QueryResult``` > ## Implementation Plan > ### Phase 1: Core Infrastructure (Weeks 1-2)- Extend `GeaFlowDSLParser` with > NL2Cypher capabilities- Implement `NLQueryContext` and related data > structures- Create basic LLM integration framework > ### Phase 2: Query Processing (Weeks 3-4)- Implement natural language > preprocessing- Develop Cypher generation logic- Integrate with existing > validation pipeline > ### Phase 3: Integration & Testing (Weeks 5-6)- Extend `QueryClient` for > natural language support- Comprehensive testing with existing GQL test > patterns:- Performance optimization and caching > ## Current Status > ### MeritocracyThis extension follows Apache GeaFlow's established > development practices, building upon existing code review processes and > contribution guidelines. > ### CommunityThe extension leverages GeaFlow's active community while > attracting new users from business intelligence and data science domains who > need accessible graph analytics. > ### AlignmentPerfect alignment with Apache GeaFlow's mission, utilizing > existing Apache Calcite integration and following established DSL patterns. > ## Known Risks > ### Technical Risks- **LLM Accuracy**: Mitigation through validation pipeline > and confidence scoring- **Performance Impact**: Addressed via caching and > optimization strategies- **Schema Complexity**: Handled through incremental > feature rollout --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
