Agent Architecture: Our software benchmarks reveal that while basic vector databases excel at shallow semantic search, combining vector embeddings with structured Knowledge Graphs (GraphRAG) cuts enterprise agent hallucinations in half.
Global Entity Relationship Traversal
Knowledge graphs preserve complex hierarchical and multi-hop relationships between business entities, allowing agents to answer complex multi-document corporate queries accurately.
Dynamic Episodic Memory Consolidation
Long-running autonomous agents utilize dual-tier memory structures: short-term rolling context windows and long-term vector stores that periodically distill conversational insights into permanent episodic graphs.
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