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Source channel @githubtrending · Post #14841 · Jun 19

#typescript#agents#ai#embedders#genkit#llm#machine_learning#multimodal#rag#vector_database Genkit is an open-source framework by Google Firebase that helps you easily build AI-powered apps using a single interface to connect many AI models like Google Gemini, OpenAI, and Anthropic. It supports JavaScript/TypeScript (stable), Go (beta), and Python (alpha), letting you create chatbots, automations, and recommendations quickly with simple code. Genkit works well with web and mobile platforms, offers tools for testing and debugging AI features locally, and lets you deploy and monitor your AI apps on Firebase or other cloud services. This saves you time and effort in developing and managing AI applications efficiently. https://github.com/firebase/genkit

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@githubtrending · Post #15518 · 02/24/2026, 11:30 AM

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#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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#rust #ai #ai_ocr #attention_mechanism #gnn #gnn_model #gnns #graph #graph_neural_networks #llm_inference #low_latency #mincut #neo4j #ocr #onnx #vector #wasm