KnowledgeGraph

The KnowledgeGraph class is responsible for adding, updating, and querying entities and relationships in the graph database, based on a provided ontology.

`init(self, ontology: KnowledgeOntology, use_neo4j: bool = False)`

Initializes a new instance of the KnowledgeGraph class.

from a1facts.graph import KnowledgeGraph
from a1facts.ontology import KnowledgeOntology

ontology = KnowledgeOntology(ontology_file="ontology.yaml")
kg = KnowledgeGraph(ontology=ontology, use_neo4j=False)

Parameters:

ontology (KnowledgeOntology): The ontology defining the graph’s structure.
use_neo4j (bool, optional): Whether to use Neo4j as the backend. Defaults to False.

`query(self, query: str)`

Executes a natural language query against the knowledge graph.

result = kg.query("what do you know about how UnitedHealth competes with CVS?")
print(result)

Parameters:

query (str): The natural language query to execute.

Returns:

The content of the agent’s response as a string.

`update_knowledge(self, knowledge: str)`

Updates the knowledge graph with new, unstructured information.

knowledge_to_add = "UnitedHealth Group is a diversified health and well-being company."
result = kg.update_knowledge(knowledge_to_add)
print(result)

Parameters:

knowledge (str): A string of unstructured knowledge to add to the graph.

Returns:

The content of the agent’s response as a string.

`close(self)`

Closes the connection to the graph database.

kg.close()

Getting Started

Core Concepts

Cookbook

API Reference

`init(self, ontology: KnowledgeOntology, use_neo4j: bool = False)`

`query(self, query: str)`

`update_knowledge(self, knowledge: str)`

`close(self)`

​__init__(self, ontology: KnowledgeOntology, use_neo4j: bool = False)

​query(self, query: str)

​update_knowledge(self, knowledge: str)

​close(self)

`init(self, ontology: KnowledgeOntology, use_neo4j: bool = False)`

`query(self, query: str)`

`update_knowledge(self, knowledge: str)`

`close(self)`