Uses graph structure to provide rich context for LLM answers. The pipeline follows the pattern: identify entities -> traverse for context -> rank entities -> generate answer.
Multi-hop traversal follows relationship chains to gather evidence beyond direct neighbors. Citations track which nodes and edges contributed to the answer.
Value parameters
config
Pipeline configuration
graphStore
The graph store containing the knowledge graph
llmClient
The LLM client for entity identification and answer generation