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19 articles

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Dec 26, 2025 · Artificial Intelligence

15 Chunking Strategies to Supercharge Retrieval‑Augmented Generation

This article presents fifteen practical chunking techniques—ranging from line‑by‑line and fixed‑size chunking to semantic and hierarchical methods—explaining their principles, ideal use‑cases, concrete input examples, chunk outputs, and key advantages or cautions for improving Retrieval‑Augmented Generation with large language models.

AIData RetrievalLLM

0 likes · 28 min read

15 Chunking Strategies to Supercharge Retrieval‑Augmented Generation

Alibaba Cloud Developer

Dec 16, 2025 · Artificial Intelligence

How We Built an AI‑Powered Data Agent to Automate Data Retrieval at Scale

This article details the design and implementation of Matra, an AI‑driven data assistant for a large e‑commerce platform, covering the challenges of legacy data assets, knowledge‑base construction, GraphRAG integration, multi‑stage agent frameworks, practical results, and future plans for continuous improvement.

AIData RetrievalKnowledge Graph

0 likes · 22 min read

How We Built an AI‑Powered Data Agent to Automate Data Retrieval at Scale

DaTaobao Tech

Aug 13, 2025 · Artificial Intelligence

Unlocking AI Power: A Complete Guide to Prompt Engineering and Advanced Techniques

This article explores the emerging field of prompt engineering, detailing its fundamentals, advanced strategies such as chain‑of‑thought, ReAct, and structured frameworks, and demonstrates practical applications in AI agents for data retrieval, SQL generation, and market insight, offering actionable guidance for developers and business users alike.

AI agentsData RetrievalRAG

0 likes · 42 min read

Unlocking AI Power: A Complete Guide to Prompt Engineering and Advanced Techniques

Model Perspective

Jul 22, 2025 · Artificial Intelligence

How AI‑Powered “Deep Research” Supercharges Data Retrieval for Modeling

This article explains how large‑language‑model tools like Metaso AI’s “Deep Research” can dramatically speed up reliable data collection for mathematical modeling by providing systematic retrieval workflows, visual summaries, and interactive reports within minutes.

AIData RetrievalResearch Tools

0 likes · 6 min read

How AI‑Powered “Deep Research” Supercharges Data Retrieval for Modeling

Rare Earth Juejin Tech Community

Feb 13, 2025 · Big Data

Configuring and Using DeepSeek Search Engine in Cursor for Efficient Data Retrieval

This article introduces DeepSeek, a high‑efficiency search engine optimized for large‑scale data, explains how to configure it within the Cursor database tool using code snippets, and demonstrates its applications such as semantic search, content recommendation, intelligent data analysis, and document similarity matching.

Big DataConfigurationCursor

0 likes · 6 min read

Configuring and Using DeepSeek Search Engine in Cursor for Efficient Data Retrieval

ITPUB

Feb 1, 2025 · Databases

How to Query Elasticsearch with SQL: A Step‑by‑Step Guide

This tutorial explains how to use Elasticsearch's built‑in SQL interface to replace complex Query DSL statements with familiar SQL syntax, covering environment setup, index creation, data insertion, and a variety of query examples such as filtering, ordering, grouping, aggregation, and date manipulation.

Data RetrievalElasticsearchQuery DSL

0 likes · 8 min read

How to Query Elasticsearch with SQL: A Step‑by‑Step Guide

dbaplus Community

Nov 12, 2024 · Databases

How to Query Elasticsearch with SQL: A Step‑by‑Step Guide

This tutorial shows how to use Elasticsearch's built‑in SQL support to run familiar MySQL‑style queries—creating an index, inserting documents, and performing SELECT, WHERE, ORDER BY, GROUP BY, LIMIT, aggregation, date and string functions—making ES data retrieval as easy as relational databases.

Data RetrievalElasticsearchQuery DSL

0 likes · 7 min read

ByteDance Data Platform

Sep 25, 2024 · Artificial Intelligence

How LLMs Power the “Find Data Assistant” for Smarter Data Retrieval

This article explains how the Volcano Engine DataLeap team leveraged large‑language models to build the “Find Data Assistant”, detailing its design, challenges, embedding‑and‑reranker enhancements, LLM‑driven semantic search, mixing architecture, and practical lessons for improving data asset management and retrieval.

Data Asset ManagementData RetrievalEmbedding

0 likes · 17 min read

How LLMs Power the “Find Data Assistant” for Smarter Data Retrieval

DataFunSummit

Sep 21, 2024 · Artificial Intelligence

DataLeap "Find Data Assistant": Leveraging Large Language Models for Data Asset Retrieval and Management

This article details how the DataLeap team applied large language model technology to build the "Find Data Assistant" platform, addressing the challenges of locating and using massive data assets through a hybrid retrieval architecture, enhanced embedding, reranking, mixed ranking, and answer summarization, while sharing practical lessons and future directions.

Data Asset ManagementData RetrievalEmbedding

0 likes · 17 min read

DataLeap "Find Data Assistant": Leveraging Large Language Models for Data Asset Retrieval and Management

IT Services Circle

Nov 4, 2023 · Databases

SQL Query Examples and Explanations for the idc_evaluating Database

This article presents a collection of SQL statements—including SELECT, DELETE, DESCRIBE, and JOIN queries—targeting various tables in the idc_evaluating database, accompanied by detailed English explanations of their purpose, syntax, and result set structure.

Data RetrievalJOINSQL

0 likes · 10 min read

SQL Query Examples and Explanations for the idc_evaluating Database

MaGe Linux Operations

Mar 20, 2023 · Operations

How to Retrieve and Analyze Prometheus Monitoring Data via API

This guide explains how to use Prometheus' stable V1 API to perform instant and range queries, handle common error codes, parse JSON responses, and fetch metrics programmatically with curl or Python, enabling deeper data analysis and cost management.

APIData RetrievalInstant Query

0 likes · 7 min read

How to Retrieve and Analyze Prometheus Monitoring Data via API

Selected Java Interview Questions

Dec 29, 2022 · Backend Development

Optimizing Large‑Scale Data Retrieval with ClickHouse, Elasticsearch Scroll Scan, ES+HBase, and RediSearch+RedisJSON

This article examines a business requirement to filter up to 100 000 records from a pool of tens of millions, presenting and evaluating four backend solutions—multithreaded ClickHouse pagination, Elasticsearch scroll‑scan, an ES‑HBase hybrid, and RediSearch + RedisJSON—along with performance data and implementation details.

BackendClickHouseData Retrieval

0 likes · 11 min read

Optimizing Large‑Scale Data Retrieval with ClickHouse, Elasticsearch Scroll Scan, ES+HBase, and RediSearch+RedisJSON

Selected Java Interview Questions

Sep 14, 2022 · Databases

Understanding SQL Query Execution Order and Clause Functions

This article explains the standard SQL query execution sequence—including FROM/JOIN, WHERE, GROUP BY, HAVING, SELECT, DISTINCT, ORDER BY, and LIMIT—illustrating each step with examples, code snippets, and diagrams to clarify how data is retrieved and processed.

Data RetrievalQuery ExecutionSQL

0 likes · 5 min read

Understanding SQL Query Execution Order and Clause Functions

Python Programming Learning Circle

Aug 13, 2022 · Fundamentals

How to Use Python to Retrieve A‑Share Market Data and Control Positions for Quantitative Trading

This article explains four practical Python methods—Pandas_datareader, yfinance, Tushare, and JoinQuant—to fetch A‑share market data and manage trading positions, while also providing QR‑code links to free Python learning resources.

Data RetrievalJoinQuantQuantitative Trading

0 likes · 2 min read

How to Use Python to Retrieve A‑Share Market Data and Control Positions for Quantitative Trading

Zuoyebang Tech Team

Apr 7, 2022 · Cloud Native

How Fluid Transforms Large‑Scale Data Retrieval on Kubernetes

This article explains how Zuoyebang redesigned its massive data retrieval platform by separating compute and storage with the Fluid project on Kubernetes, achieving minute‑level hundred‑TB distribution, elastic caching, and improved stability for real‑time educational services.

Compute-Storage SeparationData RetrievalFluid

0 likes · 8 min read

How Fluid Transforms Large‑Scale Data Retrieval on Kubernetes

Bilibili Tech

Feb 18, 2022 · Big Data

Evolution of Bilibili's Data Retrieval Services and Lakehouse Architecture

Bilibili’s data retrieval journey progressed from a fragmented, chimney‑style pipeline to a unified Flink‑based service layer with the Ark construction system and Akuya SQL engine, and finally to an Iceberg‑driven lakehouse that eliminates data duplication, streamlines cross‑engine optimization, and offers platformized, low‑latency analytics.

Big DataBilibiliData Retrieval

0 likes · 14 min read

Evolution of Bilibili's Data Retrieval Services and Lakehouse Architecture

21CTO

Nov 29, 2021 · Databases

Why Moving Business Logic to the Application Boosts Scalability

The article explains how shifting complex filtering, validation, and join operations from the database to the application layer reduces scarce database resource usage, improves scalability, and enables more flexible resource allocation for modern web applications.

Data RetrievalScalabilityapplication architecture

0 likes · 7 min read

Why Moving Business Logic to the Application Boosts Scalability

Python Crawling & Data Mining

Aug 21, 2020 · Databases

Master Python‑Oracle Integration: Install Instant Client & Query Data

Learn how to set up Oracle Database for Python, install and configure the 64‑bit Instant Client, resolve common issues like Chinese character encoding, install the cx_Oracle driver, and perform data queries using fetchone, fetchall, and pandas DataFrames.

Data RetrievalInstant ClientOracle

0 likes · 9 min read

Master Python‑Oracle Integration: Install Instant Client & Query Data

ITPUB

Jan 26, 2016 · Backend Development

How Python Powers Star Wars Visual Effects and the Star Wars API

This article explores Python's role in Industrial Light & Magic's visual effects for Star Wars, introduces the Star Wars API, and demonstrates Python scripts that query film data and build a simple Star Wars-themed game.

Backend DevelopmentData RetrievalGame Development

0 likes · 5 min read