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In this project

Graph instead of RAG for regulatory documents

https://sudonull.com/graph-instead-of-rag-for-regulatory-documents

Why vector search breaks on regulations: from flat chunks to graph of nodes and links. Multi-mode retrieval, terms, mandatory context. For middle/senior dev. Learn more.

Graph Product Search on LLM

https://sudonull.com/graph-product-search-on-llm

LLM Graph Search Architecture for Complex Queries: Negations, Structures, Brands. Pipeline, Examples, Quality Assessment. For RAG System Developers — Implement in 10–15s.

GRACE-DOCX for editing large .docx in LLM

https://sudonull.com/grace-docx-for-editing-large-docx-in-llm

Eliminate context rot and drift in .docx editing with GRACE-DOCX: embed module map and contracts. Save 80% tokens, precise edits. Instructions and repository for developers.

DirectX updates: DXLA and Compute Graph

https://sudonull.com/directx-updates-dxla-and-compute-graph

New DirectX tools integrate ML into shaders: linear algebra, graph compiler, ASD and DXR 2.0. For developers — details, timeline and GPU vendor support. Learn now.

From other projects

The Graph vs Chainlink: Key Differences in Web3 Data

https://ymaho.com/the-graph-vs-chainlink-key-differences-in-web3-data

The Graph indexes on-chain data; Chainlink brings off-chain data to smart contracts. Learn how they work and why they're complementary, not competitors.

Aberdeen FC Relegation Battle: Shinnie's Urgent Call to Action

https://lrivo.com/aberdeen-fc-relegation-battle-shinnie-s-urgent-call-to-action

Aberdeen captain Graeme Shinnie stresses action over words as the club fights to avoid relegation in the Scottish Premiership. Discover their current form and upcoming challenges.

FA Cup: West Ham & Leeds Face Key Injury Challenges

https://lrivo.com/fa-cup-west-ham-leeds-face-key-injury-challenges

West Ham and Leeds United grapple with crucial player returns and injury doubts ahead of their FA Cup quarter-final clash. Get the latest team news and impact analysis.

AI predicts brain cancer without biopsy using PET/CT

https://ymaho.com/ai-predicts-brain-cancer-without-biopsy-using-pet-ct

Multimodal AI model based on graph neural networks analyzes PET/CT and predicts glioma mutations with >95% accuracy. Non-invasive diagnosis without biopsy. Learn more.

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