autogen.agentchat.contrib.graph_rag.neo4j_graph_query_engine.Neo4jGraphQueryEngine

​

Neo4jGraphQueryEngine

Neo4jGraphQueryEngine(**kwargs)

This class serves as a wrapper for a property graph query engine backed by LlamaIndex and Neo4j, facilitating the creating, connecting, updating, and querying of LlamaIndex property graphs.
It builds a property graph Index from input documents, storing and retrieving data from the property graph in the Neo4j database.
It extracts triplets, i.e., [entity] -> [relationship] -> [entity] sets, from the input documents using llamIndex extractors.
Users can provide custom entities, relationships, and schema to guide the extraction process.
If strict is True, the engine will extract triplets following the schema of allowed relationships for each entity specified in the schema.
It also leverages LlamaIndex’s chat engine which has a conversation history internally to provide context-aware responses.
For usage, please refer to example notebook/agentchat_graph_rag_neo4j.ipynb

Initialize a Neo4j Property graph.
Please also refer to https://docs.llamaindex.ai/en/stable/examples/property_graph/graph_store/

​

Instance Methods

​

add_records

add_records(*args, **kwargs) -> 

Call self as a function.

​

connect_db

connect_db(*args, **kwargs) -> 

Call self as a function.

​

init_db

init_db(*args, **kwargs) -> 

Call self as a function.

​

query

query(*args, **kwargs) -> 

Call self as a function.