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agentchat.contrib.graph_rag.graph_query_engine

GraphStoreQueryResult​

@dataclass
class GraphStoreQueryResult()

A wrapper of graph store query results.

answer: human readable answer to question/query. results: intermediate results to question/query, e.g. node entities.

GraphQueryEngine​

class GraphQueryEngine(Protocol)

An abstract base class that represents a graph query engine on top of a underlying graph database.

This interface defines the basic methods for graph rag.

init_db​

def init_db(input_doc: List[Document] | None = None)

This method initializes graph database with the input documents or records. Usually, it takes the following steps,

  1. connecting to a graph database.
  2. extract graph nodes, edges based on input data, graph schema and etc.
  3. build indexes etc.

Arguments:

  • input_doc - a list of input documents that are used to build the graph in database.

  • Returns - GraphStore

add_records​

def add_records(new_records: List) -> bool

Add new records to the underlying database and add to the graph if required.

query​

def query(question: str,
          n_results: int = 1,
          **kwargs) -> GraphStoreQueryResult

This method transform a string format question into database query and return the result.