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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

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Google Facts™ [ ️@googlefactss🌎]

@googlefactss · Post #40299 · 12/11/2025, 03:00 PM

In 1995, wolves were reintroduced to Yellowstone, sparking a remarkable ecological revival. Their presence changed elk behavior, allowing vegetation along riverbanks to recover. This regrowth stabilized soil and encouraged beaver populations to thrive, whose dams further improved water retention and created diverse aquatic habitats. Together, wolves and beavers helped reshape the ecosystem, even altering river flows. 🐺🦫🌿🌊 [Read more] @googlefactss #Wolves#Beavers#Yellowstone#EcosystemRestoration#RiverRevival#Conservation#NaturePower