May 19, 2026 · Databases

Building an AI‑Ready, Multi‑Modal Database Foundation for the Digital Intelligence Era

The talk outlines the AI era’s three major challenges for large language models and data (stability, 3V, resource limits), presents YashanDB’s original theory breakthroughs—including resource‑constrained computing, shared‑cluster performance and adaptive transaction scheduling—details a multi‑modal fusion architecture, introduces the KSA trustworthy knowledge‑engineering framework, and showcases real‑world deployments in smart‑city and energy domains.

AI-Ready Data PlatformEnergy IndustryKnowledge Engineering

0 likes · 16 min read

Building an AI‑Ready, Multi‑Modal Database Foundation for the Digital Intelligence Era

Sohu Tech Products

Mar 13, 2024 · Databases

DingoDB Multi-Modal Vector Database: Design Philosophy, Architecture and Applications

DingoDB is a multi‑modal vector database that unifies storage and analysis of structured, semi‑structured and unstructured data through a Raft‑based distributed architecture, offering MySQL‑compatible SQL, high‑performance APIs, automatic sharding, real‑time index optimization, and hybrid scalar‑vector queries for enterprise knowledge bases, LLM memory, and real‑time decision‑making.

Data ArchitectureDingoDBLLM applications

0 likes · 11 min read

DingoDB Multi-Modal Vector Database: Design Philosophy, Architecture and Applications