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AntData

Ant Data leverages Ant Group's leading technological innovation in big data, databases, and multimedia, with years of industry practice. Through long-term technology planning and continuous innovation, we strive to build world-class data technology and products.

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Latest from AntData

34 recent articles

AntData

Aug 7, 2026 · Big Data

Designing Lampara: Ant Group’s Real‑Time Data Processing System for End‑to‑End SLA Guarantees

The article details Ant Group’s Lampara, a next‑generation real‑time data processing platform that embeds end‑to‑end SLA guarantees, active disaster‑recovery, scenario‑driven development and enhanced operators, showing how it improves reliability, efficiency and cost while supporting large‑scale business scenarios such as flash sales, AI agents and marketing campaigns.

Big DataDistributed SystemsLampara

0 likes · 18 min read

Designing Lampara: Ant Group’s Real‑Time Data Processing System for End‑to‑End SLA Guarantees

AntData

Jul 31, 2026 · Artificial Intelligence

When Expert Experience Can Be Quantified: How Rubrics Become Data Assets for LLM Inference Training

The article analyzes how combining formal verification with expert‑derived Rubrics provides fine‑grained process supervision for large language models, presents the CRAFT data‑production pipeline, and shows experimental gains on math and medical benchmarks using Rubric‑driven RL, SFT, and alternating RL‑SFT training.

AI trainingEvaluationLLM

0 likes · 23 min read

When Expert Experience Can Be Quantified: How Rubrics Become Data Assets for LLM Inference Training

AntData

Jul 15, 2026 · Databases

How OceanBase Builds a Data Foundation for AI Agents

The article explains how OceanBase tackles AI‑agent challenges such as isolation, memory, and trial‑and‑error by introducing logical tenants, layered decoupling, hybrid search, database branching, multimodal large‑object storage, and Model‑in‑DB AI columns, backed by benchmark results and real‑world deployments.

AI AgentsDatabase BranchingHybrid Search

0 likes · 14 min read

How OceanBase Builds a Data Foundation for AI Agents

AntData

Jul 8, 2026 · Databases

Deep Dive into SINDI: High‑Performance Sparse Vector Search Index for VSAG

The article explains SINDI, a sparse‑vector retrieval index designed for VSAG, detailing its window‑based weighted inverted lists, multi‑layer pruning, quantization and reranking techniques that achieve dramatically faster index construction, smaller index size, and high query throughput compared with traditional inverted or graph indexes.

Maximum Inner Product SearchSparse VectorVSAG

0 likes · 21 min read

Deep Dive into SINDI: High‑Performance Sparse Vector Search Index for VSAG

AntData

Jun 30, 2026 · Artificial Intelligence

Building Industrial-Scale Unstructured Data Pipelines for LLMs: From Text to Multimodal

The article outlines an end‑to‑end industrial pipeline for large‑model training data, detailing six concrete steps for raw web text processing, multimodal VQA/caption/interleave/audio generation methods, and a data‑engineering backbone that uses agentic pipelines, unified storage, and a post‑training production platform to ensure high‑quality, verifiable data.

AgenticData QualityLLM

0 likes · 15 min read

Building Industrial-Scale Unstructured Data Pipelines for LLMs: From Text to Multimodal

AntData

Jun 12, 2026 · Artificial Intelligence

Rethinking AI Memory: From Raw Ledger to Policy‑Driven Closed Loop

The article argues that AI memory is not mere storage but an external state that feeds decisions, proposes three core propositions—Memory as decision‑usable external state, a minimal closure of Raw Ledger + Views + Policy, and event sequences as the fundamental unit—and details how a System 1 + System 2 architecture, non‑parametric designs, temporal handling, and learnable policies together shape the practical limits of modern agentic memory systems.

AI memoryRetrieval Augmentationagent architecture

0 likes · 42 min read

Rethinking AI Memory: From Raw Ledger to Policy‑Driven Closed Loop

AntData

Jun 5, 2026 · R&D Management

My 9‑Step Spec Coding at Ant Data: Making AI Coding Team‑Controllable

The article analyzes the shortcomings of ad‑hoc Vibe Coding, introduces Spec‑Driven Development as a structured AI‑assisted workflow, details a nine‑step process with concrete commands and examples, evaluates its trade‑offs, and offers practical guidance on when and how to apply it in team projects.

AI codingSpec-Driven DevelopmentWorkflow

0 likes · 21 min read

AntData

May 26, 2026 · Industry Insights

From ChatBI to Business Memory: Redefining Data Intelligence’s Productivity

The article examines how ChatBI is evolving beyond simple natural‑language SQL generation toward a collaborative, context‑aware system that integrates a semantic layer and business memory, enabling trustworthy analysis, plan‑mode workflows, and continuous learning, ultimately redefining the productivity boundaries of data intelligence.

AIBusiness MemoryChatBI

0 likes · 47 min read

From ChatBI to Business Memory: Redefining Data Intelligence’s Productivity

AntData

May 14, 2026 · Artificial Intelligence

How RAG‑Powered DB‑GPT Enables Intelligent Marine‑Environment Queries with Text2SQL

The article presents a private‑deployed DB‑GPT solution that combines Retrieval‑Augmented Generation (RAG) and Text2SQL to address low utilization of unstructured marine‑environment knowledge, cross‑source data querying difficulties, and security concerns, detailing technical selection, implementation steps, and performance gains that reduce query time from 30 minutes to 1‑3 minutes.

AIDB-GPTKnowledge Retrieval

0 likes · 13 min read

How RAG‑Powered DB‑GPT Enables Intelligent Marine‑Environment Queries with Text2SQL

AntData

Apr 28, 2026 · Artificial Intelligence

Iterative Agent Evaluation Skill: Automating Bad‑Case Diagnosis with AI Pre‑Annotation

The article presents an end‑to‑end, eight‑phase automated evaluation pipeline for large‑model agents that replaces manual bad‑case inspection with AI‑assisted pre‑annotation, cutting analysis time from a full‑day to about 30 minutes and achieving over 90 % efficiency gain while enabling iterative knowledge‑base refinement.

AI pre‑annotationAutomated PipelineKnowledge Iteration

0 likes · 20 min read

Iterative Agent Evaluation Skill: Automating Bad‑Case Diagnosis with AI Pre‑Annotation