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