by @kgraph.pro
The semantic web, knowledge graphs, linked data, and data taxonomy and ontology modeling.
ScienceConcierge編集部 Can AI find the physics papers you need? Kumar & Kumar combine keyword and semantic search. Recovering one source paper from a synthetic question does not guarantee accurate reports or complete coverage. https://note.com/hydezero/n/nd053d0be0ca0?hl=en #Physics #AI #RAG
Stefano Galloni Google is turning developer documentation into a first-party retrieval layer for AI agents: semantic search, Markdown documents, grounded answers with citations, MCP, an official agent skill, gcloud and client libraries. (1/2)
☣ KitPloit - Hacker Tools cartography — Pulls infrastructure assets and their relationships from 30+ cloud, identity, and SaaS platforms into a Neo4j graph for security queries and rule-based analysis. https://ktp.sh/xBadS2mPqQ
How Does Enterprise Semantic Search Governance Power AI-Ready Retrieval? — https://indexical.dev/knowledge/how_does_enterprise_semantic_search_governance_power_ai-ready_retrieval.php
SurrealDB Finding content creators on Later's influencer marketing platform used to mean manual filtering. Now it runs on a context-aware knowledge graph on SurrealDB, blending semantic search, graph traversal, and vector search. Learn how. 👉 sdb.li/4wyyqfK
Sensarts Semantic search usually means running a separate vector database alongside your real one — two systems to keep in sync. SapixDB is schema-free, so a vector embedding can just be a field on your existing record. No separate store, no sync pipeline to babysit. #database #AI #database #AI
Neo4j What you were waiting for: turn your existing documents into rich knowledge graphs without writing a single line of code :) 🔜We are thrilled to share that the general availability for Document Intelligence, as part of Neo4j AuraDB, is coming soon! https://bit.ly/4zoZ6RX
Yves Mulkers You buy meaning, not the model. Dell, Snowflake and Neo4j sold the same thing this week: not the agent, the meaning you hand it. The daily newsletter: https://ins7ghts.com/daily?utm_source=bluesky&utm_medium=short&utm_campaign=ins7ghts-daily&utm_content=ep009_s1 powered by ins7ghts.com
Akademie der Wissenschaften und der Literatur | Mainz Nach gelungenem Netzwerkabend gestern starten wir bei der #ISS_26 heute endgültig ins All. In unserem Raspberry PI-Lab unternehmen die Diginauten erste Schritte mit den Basisinstrumenten und werden dann ins Semantic Web und die Arbeit mit Daten unter Zuhilfenahme von LLMs einsteigen.
How Does Enterprise Semantic Search Turn Unstructured Data Into Trusted Answers? — https://indexical.dev/knowledge/how_does_enterprise_semantic_search_turn_unstructured_data_into_trusted_answers.php
Krzysztof Nowak After all these years, it was a pleasure to present our work at #EURALEX2026: • with I. Krawczyk & J. Marszałek on LLM-assisted sense assignment for our Neo-Latin dictionary • with D. Mika on a Semantic Web edition of the Dictionary of Polish Dialects euralex2026.at/en/publicati...
Neo4j "Across two deliberately hostile catalogs (278 Census tables on BigQuery and 264 legacy tables on Databricks), a #Neocarta semantic layer in Neo4j makes Text2SQL agents faster, cheaper, and more accurate." claims Mounir Babari. Full benchmark? https://bit.ly/4APuw5a #semantics #Neo4j #AI
Alina Yurenko Genuinely had so much fun demoing semantic search with real-world constraints at #Devoxx! A lot of questions too :) The complete project and notes on GitHub: github.com/alina-yur/sw...