langchain_community.graphs.networkx_graph
.NetworkxEntityGraph¶
- class langchain_community.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_node
(node)Add node in the graph.
add_triple
(knowledge_triple)Add a triple to the graph.
clear
()Clear the graph.
Clear the graph edges.
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_neighbors
(node)Return the neighbor nodes of the given node.
Get number of nodes in the graph.
Get a list of entity names in the graph sorted by causal dependence.
Get all triples in the graph.
has_edge
(source_node, destination_node)Return if graph has an edge between the given nodes.
has_node
(node)Return if graph has the given node.
remove_edge
(source_node, destination_node)Remove edge from the graph.
remove_node
(node)Remove node from the graph.
write_to_gml
(path)- Parameters
graph (Optional[Any]) –
- __init__(graph: Optional[Any] = None) None [source]¶
Create a new graph.
- Parameters
graph (Optional[Any]) –
- Return type
None
- add_node(node: str) None [source]¶
Add node in the graph.
- Parameters
node (str) –
- Return type
None
- add_triple(knowledge_triple: KnowledgeTriple) None [source]¶
Add a triple to the graph.
- Parameters
knowledge_triple (KnowledgeTriple) –
- Return type
None
- delete_triple(knowledge_triple: KnowledgeTriple) None [source]¶
Delete a triple from the graph.
- Parameters
knowledge_triple (KnowledgeTriple) –
- Return type
None
- 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')
- Parameters
kwargs (Any) –
- Return type
None
- classmethod from_gml(gml_path: str) NetworkxEntityGraph [source]¶
- Parameters
gml_path (str) –
- Return type
- get_entity_knowledge(entity: str, depth: int = 1) List[str] [source]¶
Get information about an entity.
- Parameters
entity (str) –
depth (int) –
- Return type
List[str]
- get_neighbors(node: str) List[str] [source]¶
Return the neighbor nodes of the given node.
- Parameters
node (str) –
- Return type
List[str]
- get_topological_sort() List[str] [source]¶
Get a list of entity names in the graph sorted by causal dependence.
- Return type
List[str]
- get_triples() List[Tuple[str, str, str]] [source]¶
Get all triples in the graph.
- Return type
List[Tuple[str, str, str]]
- has_edge(source_node: str, destination_node: str) bool [source]¶
Return if graph has an edge between the given nodes.
- Parameters
source_node (str) –
destination_node (str) –
- Return type
bool
- has_node(node: str) bool [source]¶
Return if graph has the given node.
- Parameters
node (str) –
- Return type
bool
- remove_edge(source_node: str, destination_node: str) None [source]¶
Remove edge from the graph.
- Parameters
source_node (str) –
destination_node (str) –
- Return type
None