GraphRAG explains why AI is shifting from isolated text to connected knowledge, and what that means for AI search ...

Over 70 million people in the U.S. are impacted by hearing loss, and age-related hearing loss is the second most common ...

When you ask a large language model who founded a particular company, it produces an answer from somewhere inside its parameters. Where exactly that knowledge lives, how it got there, and how ...

A semantic knowledge graph that extracts concepts from documents, tracks how well-supported they are, and remembers where sources disagree. κ(G) — vertex connectivity of a graph. The minimum number of ...

Obsidian Note Taking reshapes how information is captured, connected, and rediscovered by turning simple Markdown files into a dynamic, interconnected system. Instead of isolating notes in folders, ...

An MCP server that parses your codebase with Tree-sitter, builds a structural graph of functions/classes/imports, and gives Claude (or any MCP client) precise context so it reads only what matters ...

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Abstract: Privacy-Preserving Graph Similarity matching Query (PPGSQ) can retrieve the encrypted data graphs that approximately match with the encrypted query graph ...

Neo4j’s Suhail Gulzar explains why graphs are gaining traction in India for grounding GenAI with context, detecting networked fraud threats and enabling auditable data lineage. Enterprises are ...

The translation of India's extensive traditional knowledge on indigenous medicinal plants into modern therapeutic solutions is contingent upon a systematic framework. While traditional Indian medicine ...