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This article introduces Xiaomi’s open‑source Home Assistant integration, explains its benefits over third‑party solutions, and provides step‑by‑step instructions—including git commands—to install, update, and securely configure the component for managing Xiaomi IoT devices within Home Assistant.
Xiaomi Vela, an open‑source IoT operating system built on the NuttX kernel, offers high‑performance real‑time capabilities, rich components, unified frameworks, and extensive connectivity, and has been deployed on over 47 million devices, with source code now publicly released under Apache 2.0.
This article presents Xiaomi's work on LLM‑based Agent technology, covering its perception‑thinking‑action pipeline, technical framework, prompt management, executor and API platform, workflow, optimization strategies, evaluation metrics, and future directions for AI assistants.
This article details Xiaomi’s practical deployment of Trino, covering its architectural role, core and extended capabilities, performance comparisons, integration with Iceberg and Spark, operational enhancements, multi‑cluster and ad‑hoc query scenarios, future cloud‑storage plans, and a Q&A session.
This article presents Xiaomi's comprehensive metric system framework, covering its definition, business pain points, the OSM and MECE methodologies, model design principles, data warehouse construction, metric management, and future outlook, illustrating how a unified data platform drives efficient business decision‑making.
This article details Xiaomi's three‑year journey of adopting Apache Doris across dozens of internal services, describing the transition from a Spark‑SQL‑based Lambda architecture to a unified MPP database, performance benchmarks, data ingestion pipelines, compaction tuning, two‑phase commit, single‑replica writes, monitoring, and community contributions.
Xiaomi introduced the full‑size humanoid robot CyberOne, detailing its human‑service design, lightweight actuators, advanced perception sensors, AI‑driven interaction capabilities, and the broader challenges and strategic motivations behind developing such sophisticated robots in the current tech ecosystem.
This talk presents the end‑to‑end deployment of Kyuubi as a unified, high‑availability SQL gateway on Xiaomi’s big‑data platform, covering its integration, architecture upgrades, multi‑engine support, performance gains, operational improvements, and future roadmap.
The article presents an in‑depth overview of Xiaomi's knowledge graph, describing its evolution, core technologies such as entity linking, knowledge fusion and concept mining, and illustrating how it powers diverse AI‑driven services like smart Q&A, virtual assistants, e‑commerce and financial applications.
The article details Xiaomi's unified streaming data platform, its three‑generation evolution from Scribe/Kafka/Storm to Talos and Flink, the current architecture supporting billions of records daily, and future plans to unify offline and real‑time warehousing with Flink SQL.
The article presents a comprehensive overview of Xiaomi's streaming platform, detailing its three‑stage evolution from a Scribe‑Kafka‑Storm stack to a Flink‑driven real‑time data warehouse, describing its architecture, components, challenges, migration strategies, job and SQL management, and future roadmap.
The article details Xiaomi's evolution of internet‑finance risk control—from early limit and frequency rules that cut bad‑debt by a third, through adopting the Drools rules engine for rapid deployment and gray‑release, to leveraging random‑forest machine‑learning models and extensive user profiling that reduced fraud by roughly 40%, while addressing privacy and operational challenges.