langchain.graphs.networkx_graph.NetworkxEntityGraph

class langchain.graphs.networkx_graph.NetworkxEntityGraph(graph: Optional[Any] = None)[source]

Networkx wrapper for entity graph operations.

Security note: Make sure that the database connection uses credentials

that are narrowly-scoped to only include necessary permissions. Failure to do so may result in data corruption or loss, since the calling code may attempt commands that would result in deletion, mutation of data if appropriately prompted or reading sensitive data if such data is present in the database. The best way to guard against such negative outcomes is to (as appropriate) limit the permissions granted to the credentials used with this tool.

See https://python.langchain.com/docs/security for more information.

Create a new graph.

Methods

__init__([graph])

Create a new graph.

add_triple(knowledge_triple)

Add a triple to the graph.

clear()

Clear the graph.

delete_triple(knowledge_triple)

Delete a triple from the graph.

draw_graphviz(**kwargs)

Provides better drawing

from_gml(gml_path)

get_entity_knowledge(entity[, depth])

Get information about an entity.

get_topological_sort()

Get a list of entity names in the graph sorted by causal dependence.

get_triples()

Get all triples in the graph.

write_to_gml(path)

__init__(graph: Optional[Any] = None) None[source]

Create a new graph.

add_triple(knowledge_triple: KnowledgeTriple) None[source]

Add a triple to the graph.

clear() None[source]

Clear the graph.

delete_triple(knowledge_triple: KnowledgeTriple) None[source]

Delete a triple from the graph.

draw_graphviz(**kwargs: Any) None[source]

Provides better drawing

Usage in a jupyter notebook:

>>> from IPython.display import SVG
>>> self.draw_graphviz_svg(layout="dot", filename="web.svg")
>>> SVG('web.svg')
classmethod from_gml(gml_path: str) NetworkxEntityGraph[source]
get_entity_knowledge(entity: str, depth: int = 1) List[str][source]

Get information about an entity.

get_topological_sort() List[str][source]

Get a list of entity names in the graph sorted by causal dependence.

get_triples() List[Tuple[str, str, str]][source]

Get all triples in the graph.

write_to_gml(path: str) None[source]

Examples using NetworkxEntityGraph