graph database | BestHub

Xiaokun's Architecture Exploration Notes

Mar 29, 2025 · Databases

Exploring Data Models: From Hierarchical to Graph and Schema-on-Read/Write

This article examines the evolution of data models—from conceptual, logical, and physical layers to hierarchical, network, relational, document, and graph structures—explaining their characteristics, implementation examples, and the contrasting schema‑on‑read versus schema‑on‑write approaches for modern data storage systems.

data modelingdatabasesgraph database

0 likes · 10 min read

Exploring Data Models: From Hierarchical to Graph and Schema-on-Read/Write

Cognitive Technology Team

Feb 28, 2025 · Artificial Intelligence

Comparative Study of Traditional RAG, GraphRAG, and DeepSearcher for Knowledge Retrieval and Generation

This article examines why Retrieval‑Augmented Generation (RAG) is needed, compares traditional RAG, GraphRAG, and the DeepSearcher framework across architecture, data organization, retrieval mechanisms, result generation, efficiency and accuracy, and provides step‑by‑step implementation guides and experimental results using vector and graph databases.

Artificial IntelligenceDeepSearcherGraphRAG

0 likes · 20 min read

Comparative Study of Traditional RAG, GraphRAG, and DeepSearcher for Knowledge Retrieval and Generation

DataFunSummit

Jan 30, 2025 · Databases

Mature Practices for Building Risk‑Control Knowledge Graphs on NebulaGraph and Leveraging Large Language Models

This article explains how NebulaGraph’s large‑scale graph database can be used to construct real‑time risk‑control knowledge graphs, describes practical applications such as community detection and path analysis, and explores how large language models enhance graph queries through Text‑to‑GQL, agents, exploration chains, and semi‑structured knowledge extraction.

AILLMNebulaGraph

0 likes · 11 min read

Mature Practices for Building Risk‑Control Knowledge Graphs on NebulaGraph and Leveraging Large Language Models

DataFunSummit

Jan 17, 2025 · Databases

Graph Database Applications and Architectures in DataFun Knowledge Map 3.0

The DataFun Knowledge Map 3.0’s graph database module, presented by Ant Group expert Cui Anqi, outlines how graph databases enhance complex analysis through risk‑control architectures, user‑relationship recommendation, data‑governance, a new graph‑based data management system, and the GraphRAG framework, while also offering a free download link.

AIbig datadata governance

0 likes · 3 min read

Graph Database Applications and Architectures in DataFun Knowledge Map 3.0

DeWu Technology

Nov 11, 2024 · Backend Development

Precise Testing Platform: Architecture, Recommendation Engine, and Graph Database Implementation

The Precise Testing Platform combines a recommendation engine—featuring a link analyzer, diff analyzer, and knowledge base—to automatically construct detailed method‑call graphs from source code, extract HTTP and Dubbo APIs, handle reflections and inheritance, and store billions of nodes in Nebula Graph, thereby eliminating blind, missed, and redundant tests while boosting coverage and reducing testing costs.

ASTJavabackend development

0 likes · 54 min read

Precise Testing Platform: Architecture, Recommendation Engine, and Graph Database Implementation

DataFunSummit

Sep 20, 2024 · Databases

Key Topics and Abstracts from DataFun Summit: Graph DB, Vector DB, Real-Time Data Warehouses, and Cloud‑Native Solutions

The article presents a collection of technical abstracts from the DataFun Summit, covering XiaoHongShu's REDgraph distributed graph database, DingoDB's multimodal vector database, Tencent's Tianqiong autonomous data platform, real‑time data warehouse architectures at Douyin and Ant Group, and Alibaba Cloud's serverless ClickHouse offering, all aimed at advancing large‑scale data processing and analytics.

big datacloud nativegraph database

0 likes · 5 min read

Key Topics and Abstracts from DataFun Summit: Graph DB, Vector DB, Real-Time Data Warehouses, and Cloud‑Native Solutions

DataFunTalk

Sep 20, 2024 · Databases

Technical Paper Summaries on Graph Databases, Vector Databases, and Real-Time Data Warehousing

This article compiles concise English summaries of several technical papers covering Xiaohongshu's REDgraph graph database, DingoDB vector database, Tianqiong autonomous data platform, Douyin's real‑time data warehouse, financial‑grade data warehousing, Alibaba Cloud ClickHouse Serverless offering, best practices in financial data governance, and 58.com user‑profile data warehouse construction.

big datadata warehousedatabases

0 likes · 5 min read

Technical Paper Summaries on Graph Databases, Vector Databases, and Real-Time Data Warehousing

DataFunTalk

Sep 19, 2024 · Databases

Technical Topics Overview from DataFun Summit: Graph Database, Vector Database, Real-time Data Warehouse, and Cloud‑Native Solutions

The article presents a collection of technical overviews—including a graph database for distributed queries, a next‑generation vector database, real‑time data warehouse architectures at Douyin and Ant Group, a cloud‑native ClickHouse service, and best practices for financial data warehousing—while also explaining how to obtain the related e‑book.

Data Engineeringbig datacloud native

0 likes · 4 min read

DataFunSummit

Sep 18, 2024 · Big Data

Data Summit Abstracts: Graph Database, Vector Database, Real-time Data Warehouse, and Cloud‑Native Analytics

The article presents a series of technical abstracts covering Xiaohongshu's distributed graph database, DingoDB's multimodal vector store, Tianqiong's autonomous data‑warehouse innovations, Douyin's storage‑based real‑time warehouse, financial‑grade real‑time warehousing, Alibaba Cloud ClickHouse Serverless, best practices in financial data governance, and 58.com’s user‑profile warehouse construction.

big datacloud nativedata governance

0 likes · 5 min read

Data Summit Abstracts: Graph Database, Vector Database, Real-time Data Warehouse, and Cloud‑Native Analytics

DataFunTalk

Sep 17, 2024 · Databases

Overview of Recent Advances in Graph, Vector, and Real-Time Data Warehouse Technologies

This article presents a collection of technical abstracts covering graph database parallel query optimization, next‑generation vector databases, real‑time data warehouse architectures, and cloud‑native analytics solutions, while also providing instructions for obtaining the full e‑book via a WeChat public account.

big datacloud nativedata warehouse

0 likes · 5 min read

Overview of Recent Advances in Graph, Vector, and Real-Time Data Warehouse Technologies

DataFunSummit

Sep 16, 2024 · Databases

DataFun Summit: Technical Papers on Graph Databases, Vector Databases, Real‑Time Data Warehouses and Industry Data Practices

The DataFun Summit page presents a collection of technical papers covering graph database parallel queries, next‑generation vector databases, real‑time data warehouse architectures, and best practices in finance and e‑commerce, while also providing instructions for obtaining the e‑book via a public account.

big datadata warehousedatabases

0 likes · 5 min read

DataFunSummit

Aug 11, 2024 · Big Data

Real‑time Business Data Anomaly Attribution with Tugraph‑Analytics at Huolala

This article describes how Huolala leveraged the open‑source high‑performance streaming graph engine Tugraph‑Analytics together with Flink to build a real‑time business data anomaly detection and attribution system, detailing the background, architectural evolution, technical choices, implementation details, benefits, and future plans.

Anomaly DetectionTuGraph-Analyticsbig data

0 likes · 12 min read

Real‑time Business Data Anomaly Attribution with Tugraph‑Analytics at Huolala

Xiaohongshu Tech REDtech

Jun 24, 2024 · Databases

Distributed Parallel Multi‑Hop Query Optimization in REDgraph Graph Database

To meet Xiaohongshu’s strict P99 latency targets for multi‑hop graph queries, the REDgraph team built a distributed parallel execution framework that eliminates global barriers, pushes operators to storage nodes, uses routing operators and a NeighborCache, cutting three‑hop query latency by over 50 % and enabling production deployment.

Performance OptimizationREDgraphdistributed parallel

0 likes · 29 min read

Distributed Parallel Multi‑Hop Query Optimization in REDgraph Graph Database

DataFunTalk

Jun 16, 2024 · Databases

Design and Optimization of REDgraph: Distributed Parallel Multi‑hop Query for Large‑Scale Social Graphs

This article presents the design, challenges, and performance‑focused optimizations of REDgraph, a large‑scale graph database used at Xiaohongshu, detailing its architecture, edge‑partitioning strategy, distributed parallel query implementation, and experimental results that demonstrate significant latency reductions for multi‑hop queries.

Distributed QueryPerformance OptimizationREDgraph

0 likes · 25 min read

Design and Optimization of REDgraph: Distributed Parallel Multi‑hop Query for Large‑Scale Social Graphs

DataFunTalk

May 31, 2024 · Artificial Intelligence

The Role of Knowledge Graphs in Industry: Importance, Product Forms, and Practical Cases

This article explains why knowledge graphs are crucial for industrial applications, describes the main product forms and architectural considerations, and shares real‑world case studies illustrating how AI, large models, and graph databases can be combined to improve knowledge management and decision‑making.

AIgraph databaseindustrial applications

0 likes · 20 min read

The Role of Knowledge Graphs in Industry: Importance, Product Forms, and Practical Cases

DataFunSummit

Apr 3, 2024 · Databases

TuGraph-DB Query Engine Overview: Graph Query Language Evolution, Engine Features, and Architectural Roadmap

This article presents a comprehensive overview of TuGraph-DB, covering the historical development of graph query languages, the capabilities and future plans of the TuGraph 4.0 query engine, and the proposed architectural evolution to support multiple languages and storage back‑ends.

CypherDatabase ArchitectureGQL

0 likes · 10 min read

TuGraph-DB Query Engine Overview: Graph Query Language Evolution, Engine Features, and Architectural Roadmap

DataFunTalk

Mar 11, 2024 · Artificial Intelligence

Challenges and Future Directions for Knowledge Graph Construction in the Era of Large Models

The article examines the high construction cost and lack of unified standards in knowledge graphs, explains why large language models cannot fully solve core issues such as hallucination and multi‑hop reasoning, and argues that a new, unified semantic framework integrating large models is essential for future progress.

AIdata integrationgraph database

0 likes · 5 min read

Challenges and Future Directions for Knowledge Graph Construction in the Era of Large Models

DataFunTalk

Mar 9, 2024 · Big Data

Construction and Application of Tencent Oula Data Lineage Platform

This article presents a comprehensive overview of Tencent Oula's data lineage system, detailing its background, goals, architecture, modular construction, key technologies such as graph databases and SQL parsing, and various internal application scenarios including data governance, cost insight, and baseline monitoring.

SQL parsingbig datacost analysis

0 likes · 20 min read

Construction and Application of Tencent Oula Data Lineage Platform

DataFunTalk

Feb 12, 2024 · Databases

High‑Availability Architecture of TuGraph‑DB: Design, Planning, and Deployment

This article explains the high‑availability architecture of TuGraph‑DB, covering the concepts of HA, the Raft consensus algorithm, cluster design, server and client mechanisms, snapshot handling, and future roadmap such as witness nodes and on‑demand snapshots.

Cluster DeploymentHigh AvailabilityRaft

0 likes · 12 min read

High‑Availability Architecture of TuGraph‑DB: Design, Planning, and Deployment

DataFunTalk

Jan 24, 2024 · Databases

Kuaishou Graph Database Storage‑Compute Separation Architecture and Its Application in Real‑Time Recommendation

This article presents Kuaishou's graph database storage‑compute separation architecture, detailing its application in real‑time recommendation scenarios, core requirements of cost, performance and usability, the layered service design, memory‑compact models, edge structures, snapshot isolation, and key performance optimizations such as Share‑Nothing and columnar data flow.

Performance Optimizationgraph databasereal-time recommendation

0 likes · 11 min read

Kuaishou Graph Database Storage‑Compute Separation Architecture and Its Application in Real‑Time Recommendation