August 25, 2026· ~5 min readGraph Construction from Text with LLMs: The Bottleneck Hiding in Your GraphRAG Stack GraphRAG post-mortems almost always blame retrieval. They are looking in the wrong place. The accuracy ceiling in a graph-augmented system is set *up
May 22, 2026· ~7 min readToken Cost Efficiency: How Graph Structures Reduce LLM Inference Costs Token costs are the dominant line item in LLM deployment. GPT-4.1 at \$2.30/million input tokens sounds small until you're processing 50 documents pe
December 30, 2025· ~15 min readTraining AI for Software Testing: From Deterministic Verification to Probabilistic Cognition ## **Executive Summary: The Paradigm Shift** The question of how to teach an artificial intelligence (AI) to "properly" test software marks a fundam
July 21, 2026· ~3 min readC2RAG: Robust Multi-Hop GraphRAG Over Imperfect Knowledge Graphs # C2RAG: Robust Multi-Hop GraphRAG Over Imperfect Knowledge Graphs Knowledge graphs in production are never perfect. They contain spurious edges, mi
July 15, 2026· ~4 min readWhen to Use Graphs in RAG: Findings from the ICLR 2026 GraphRAG-Bench Study # When to Use Graphs in RAG Despite GraphRAG's conceptual promise, recent studies have shown that it frequently underperforms vanilla vector RAG on
July 8, 2026· ~5 min readTigerGraph GraphRAG v2.0: Agentic Chat, MCP Tools, and Structure-Aware Chunking # TigerGraph GraphRAG v2.0 On 1 July 2026, TigerGraph released GraphRAG v2.0, a major update to their open-source GraphRAG framework. The release in