Pixeltable introduces a unified table abstraction that treats images, text, embeddings and model outputs as columns, enabling declarative multimodal AI pipelines, eliminating glue code, supporting built‑in vector indexing, versioned experiments, extensible custom functions, and a concise 30‑line RAG implementation.
The supply‑chain team leveraged core MLOps practices—versioning, testing, automated reproducible pipelines, deployment monitoring, and documentation—to eliminate data leakage, ensure online consistency, and accelerate model upgrades, using traffic‑replay, FAAS‑based decoupling, and approval workflows, ultimately cutting order‑fulfillment times, reducing costs, and enabling business teams to adopt reliable AI models at scale.
T‑TDSQL, a temporal extension of Tencent's TDSQL, introduces a full‑temporal data model, scalable distributed architecture, MVCC‑based history visibility algorithms, and rich temporal features that address financial audit, data lineage, and high‑performance analytics for massive historical datasets.
