langchain_community.graphs.rdf_graph.RdfGraph¶
class langchain_community.graphs.rdf_graph.RdfGraph(source_file: Optional[str] = None, serialization: Optional[str] = 'ttl', query_endpoint: Optional[str] = None, update_endpoint: Optional[str] = None, standard: Optional[str] = 'rdf', local_copy: Optional[str] = None)[source]¶
RDFlib wrapper for graph operations.
Modes:
* local: Local file - can be queried and changed
* online: Online file - can only be queried, changes can be stored locally
* store: Triple store - can be queried and changed if update_endpoint available
Together with a source file, the serialization should be specified.
Security note: Make sure that the database connection uses credentialsthat 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.
Set up the RDFlib graph
Parameters
source_file – either a path for a local file or a URL
serialization – serialization of the input
query_endpoint – SPARQL endpoint for queries, read access
update_endpoint – SPARQL endpoint for UPDATE queries, write access
standard – RDF, RDFS, or OWL
local_copy – new local copy for storing changes
Attributes
get_schema
Returns the schema of the graph database.
Methods
__init__([source_file, serialization, ...])
Set up the RDFlib graph
load_schema()
Load the graph schema information.
query(query)
Query the graph.