Technical deep dives, paper summaries, and reflections from the frontier of AI research.
We introduce Graph-of-Thought (GoT), a reasoning paradigm where LLMs construct explicit reasoning DAGs instead of linear chains. 34% improvement on multi-hop QA benchmarks.
Read Paper →A comprehensive architecture review of modern AI agents. We dissect the components that make agents reliable — and the failure modes that make them dangerous.
Read Article →Our novel pipeline extracts, canonicalizes, and links entities from streaming text with 97.3% precision. The resulting knowledge graph updates in near-real-time.
Read Paper →The diminishing returns of scale are becoming undeniable. We argue that structured knowledge, verifiable reasoning, and compositional architectures are the missing pieces.
Read Article →Today we're open-sourcing OracuGraph, our knowledge graph construction and query engine. Build, query, and evolve knowledge structures with a simple Python API.
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