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7/9/2026
trelix v1.0 to v2.7: When "It Works" Meets "It Scales"

trelix v1.0 to v2.7: When "It Works" Meets "It Scales"

Short summary

Trelix evolved from basic code search to a retrieval platform combining knowledge graphs, seven academic-grounded retrieval legs, and agentic loops in thirteen days. Key features: architecture discovery via Louvain clustering, RAPTOR summarization, HyDE semantic bridging, FLARE confidence-gated re-retrieval, and taint analysis. The narrative traces specific bugs and design trade-offs, revealing how intelligent code search scales from v1.0 to v2.7.

  • •Added CodeGraph with Louvain clustering for automatic architecture discovery and community detection
  • •Implemented seven retrieval legs grounded in academic papers (RAPTOR, HyDE, FLARE, multi-query expansion)
  • •Introduced agentic ReAct loops and data-flow/taint analysis for multi-turn reasoning and security insights

Generated with AI, which can make mistakes.

#ai-tools#product-launch#research-breakthrough#open-source
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