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AI数据转换框架如何选择?2024高性能Rust引擎CocoIndex指南 | Geoz.com.cn

AI数据转换框架如何选择?2024高性能Rust引擎CocoIndex指南 | Geoz.com.cn

CocoIndex is an ultra-performant data transformation framework for AI applications, featuring a Rust core engine, incremental processing, and built-in data lineage. It enables developers to define transformations in ~100 lines of Python using a dataflow programming model, with plug-and-play components for various sources, targets, and transformations. CocoIndex keeps source and target data in sync effortlessly and supports incremental indexing with minimal recomputation. CocoIndex是一款基于Rust核心引擎的高性能AI数据转换框架,支持增量处理和内置数据血缘追踪。开发者只需约100行Python代码即可在数据流中定义转换,采用数据流编程模型,提供即插即用的构建模块,轻松保持源数据与目标数据同步,并支持增量索引以减少重复计算。
AI大模型2026/2/16
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Deep Research是什么?2024开源多跳推理框架指南 | Geoz.com.cn

Deep Research是什么?2024开源多跳推理框架指南 | Geoz.com.cn

Deep Research is an open-source library for conducting deep, multi-hop research with reasoning capabilities, performing focused web searches with recursive exploration to provide comprehensive, evidence-backed answers to complex questions. (Deep Research是一个开源库,具备深度多跳推理能力,通过递归探索执行聚焦网络搜索,为复杂问题提供全面、有证据支持的答案。)
AI大模型2026/2/13
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LangExtract是什么?Python库利用大语言模型提取结构化信息 | Geoz.com.cn

LangExtract是什么?Python库利用大语言模型提取结构化信息 | Geoz.com.cn

LangExtract is a Python library that leverages large language models (LLMs) to extract structured information from unstructured text documents, featuring precise source mapping, customizable extraction schemas, and support for multiple model providers. (LangExtract 是一个 Python 库,利用大语言模型从非结构化文本文档中提取结构化信息,具备精确的源文本映射、可定制的提取模式以及多模型提供商支持。)
LLMS2026/2/12
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如何使用LangExtract构建知识图谱?2025年Google开源工具实战指南 | Geoz.com.cn

如何使用LangExtract构建知识图谱?2025年Google开源工具实战指南 | Geoz.com.cn

LangExtract is Google's open-source programmatic extraction tool that transforms unstructured text into structured, traceable data with character-level offsets. It enables efficient long-document processing, multi-round extraction for recall, and direct structured output, reducing traditional RAG overhead. This guide demonstrates building a knowledge graph chatbot using Streamlit, Agraph, and LangExtract with dynamic few-shot template selection. LangExtract是Google开源的程序化抽取工具,可将非结构化文本转化为可追溯的结构化数据,通过字符偏移实现高亮验证。它支持长文档分块并行处理、多轮抽取保证召回率,并直接生成结构化结果,减少传统RAG流程开销。本文演示了使用Streamlit、Agraph和LangExtract构建知识图谱聊天机器人,实现动态few-shot模板选择和实体关系并行抽取。
AI大模型2026/2/12
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如何从非结构化文本提取结构化信息?LangExtract库2026指南 | Geoz.com.cn

如何从非结构化文本提取结构化信息?LangExtract库2026指南 | Geoz.com.cn

LangExtract is a Python library that leverages Large Language Models (LLMs) to extract structured information from unstructured text documents through user-defined instructions and few-shot examples. It features precise source grounding, reliable structured outputs, optimized long document processing, interactive visualization, and flexible LLM support across cloud and local models. LangExtract adapts to various domains without requiring model fine-tuning, making it suitable for applications ranging from literary analysis to clinical data extraction. LangExtract是一个基于大型语言模型(LLM)的Python库,通过用户定义的指令和少量示例从非结构化文本中提取结构化信息。它具有精确的源文本定位、可靠的结构化输出、优化的长文档处理、交互式可视化以及灵活的LLM支持(涵盖云端和本地模型)。LangExtract无需模型微调即可适应不同领域,适用于从文学分析到临床数据提取等多种应用场景。
LLMS2026/2/9
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如何从文本提取结构化信息?2024 LangExtract库使用指南 | Geoz.com.cn

如何从文本提取结构化信息?2024 LangExtract库使用指南 | Geoz.com.cn

LangExtract is a Python library powered by large language models (like Gemini) that extracts structured information from unstructured text with precise source localization and interactive visualization capabilities. It offers reliable structured output, long-document optimization, domain adaptability, and is open-source under Apache 2.0 license. (LangExtract是一个基于大语言模型(如Gemini)的Python库,能够从非结构化文本中提取结构化信息,具备精确的源定位和交互式可视化功能。它提供可靠的结构化输出、长文档优化、领域适应性,并在Apache 2.0许可证下开源。)
AI大模型2026/2/9
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AI写作工具:现代内容创作者的技术指南与效率提升方案

AI写作工具:现代内容创作者的技术指南与效率提升方案

AI Writer is an AI-powered writing tool that uses natural language processing and machine learning to generate unique content based on user input, helping writers overcome creative blocks and boost productivity. (AI Writer是一款基于人工智能的写作工具,利用自然语言处理和机器学习技术,根据用户输入生成独特内容,帮助写作者克服创作障碍并提升效率。)
AI大模型2026/2/4
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UltraRAG:清华大学开发的零代码RAG框架,革新AI知识增强应用开发

UltraRAG:清华大学开发的零代码RAG框架,革新AI知识增强应用开发

UltraRAG is a comprehensive RAG framework developed by Tsinghua University and partners, featuring zero-code WebUI, automated knowledge base adaptation, and modular design for both research and practical applications. It integrates innovative technologies like KBAlign and DDR to optimize retrieval and generation performance across various models and tasks. (UltraRAG是由清华大学等团队开发的全面RAG框架,具备零代码WebUI、自动化知识库适配和模块化设计,支持科研与业务应用。它集成了KBAlign、DDR等创新技术,优化了多模型和多任务的检索与生成性能。)
AI大模型2026/1/25
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