Knowledge Graph Query Engineο
Knowledge Graph Query Engine.
- class llama_index.query_engine.knowledge_graph_query_engine.KnowledgeGraphQueryEngine(service_context: Optional[ServiceContext] = None, storage_context: Optional[StorageContext] = None, graph_query_synthesis_prompt: Optional[BasePromptTemplate] = None, graph_response_answer_prompt: Optional[BasePromptTemplate] = None, refresh_schema: bool = False, verbose: bool = False, response_synthesizer: Optional[BaseSynthesizer] = None, **kwargs: Any)ο
Knowledge graph query engine.
Query engine to call a knowledge graph.
- Parameters
service_context (Optional[ServiceContext]) β A service context to use.
storage_context (Optional[StorageContext]) β A storage context to use.
refresh_schema (bool) β Whether to refresh the schema.
verbose (bool) β Whether to print intermediate results.
response_synthesizer (Optional[BaseSynthesizer]) β A BaseSynthesizer object.
**kwargs β Additional keyword arguments.
- async agenerate_query(query_str: str) str ο
Generate a Graph Store Query from a query bundle.
- generate_query(query_str: str) str ο
Generate a Graph Store Query from a query bundle.
- get_prompts() Dict[str, BasePromptTemplate] ο
Get a prompt.
- update_prompts(prompts_dict: Dict[str, BasePromptTemplate]) None ο
Update prompts.
Other prompts will remain in place.