TGTGInsighttelegram intelligenceLIVE / telegram public index
← GitHub Trends

TGINSIGHT SIMILAR POSTS

Find similar content

Source channel @githubtrending · Post #15518 · Feb 24

#rust#ai#ai_ocr#attention_mechanism#gnn#gnn_model#gnns#graph#graph_neural_networks#llm_inference#low_latency#mincut#neo4j#ocr#onnx#rust#vector#wasm RuVector is a free, open-source vector database that gets smarter with every query. Unlike static databases, it learns from usage via GNN layers, runs LLMs locally with no cloud costs, supports graph queries like Neo4j, scales freely across nodes, and deploys as a single self-booting file (125ms startup). Run with `npx ruvector`. You benefit from faster, more accurate AI search that improves automatically, zero operating costs, full offline/privacy control, and easy scaling—perfect for RAG, agents, or edge apps without vendor lock-in. https://github.com/ruvnet/ruvector

Results

1 similar post found

Search: #jassm

当前筛选 #jassm清除筛选
→ #тк Борбени Ефективи [БЕФ] 🇷🇸

@borbeni_efektivi · Post #42755 · 03/26/2026, 07:17 PM

⚡️Блиски исток — према наводу RUSI, САД, Израел и савезници су за 25 дана рата потрошили укупно 1.767 крстарећих/балистичких и 3.448 ПВО/ПРО ракета-пресретача, што је према проценама угрозило залихе које се за поједине ракете мере у данима. Детаљи потрошње: ⚫️Офанзивне ракете: 912 AGM-158 JASSM, 535 BGM-109 Tomahawk, 320 MGM-140 ATACMS/PrSM. ⚫️Дефанзивне/пресретачке ракете: 1.285 PAC-3, 563 Tamir (Iron Dome), 431 SM-2/SM-3/SM-6, 402 PAC-2, 340 THAAD, 135 David’s Sling, 122 Arrow-2/3, 117 PAC-2/PAC-3 (СА), 53 Aster. → Линк: /t.me/borbeni_efektivi → Линк: /t.me/borbeni_efektivi 🪖#Билтен〣#Блиски_исток〣#Иран〣#САД〣#Израел〣#RUSI〣#JASSM〣#Tomahawk〣#ATACMS〣#Patriot〣#THAAD〣#Arrow 🇷🇸https://t.me/borbeni_efektivi