langchain-ai local-deep-researcher - GitHub Local Deep Researcher is a fully local web research assistant that uses any LLM hosted by Ollama or LMStudio Give it a topic and it will generate a web search query, gather web search results, summarize the results of web search, reflect on the summary to examine knowledge gaps, generate a new search query to address the gaps, and repeat for a
Local Deep Researcher:本地化部署的AI研究助手,零门槛 . . . 当用户输入一个研究主题后,Local Deep Researcher 会自动生成网络搜索查询,并通过配置的搜索引擎(如默认的 Tavily,也支持 DuckDuckGo 、Perplexity 等)收集相关的网络搜索结果。 接着,模型会对这些结果进行总结分析,反思总结内容以识别知识差距,进而生成新的搜索查询来填补这些差距。 这一迭代优化过程会持续进行,直至达到用户设定的总结次数,最终为用户输出一份包含所有引用来源的 Markdown 格式总结报告 。 这种自动化、迭代式的研究流程,极大地提升了研究效率,减少了人工筛选信息的繁琐工作。 二、核心功能 (一)深度、迭代式研究 Local Deep Researcher 的核心功能之一是其深度、迭代式的研究方法。
Deployment | langchain-ai local-deep-researcher | DeepWiki Local Deep Researcher can be deployed using two primary methods: Local Development Environment: Running directly on your machine using LangGraph Studio; Docker Container: Running as a containerized application; Both deployment options support integration with locally-hosted LLM providers (Ollama or LMStudio) and various search APIs
本地开源版OpenAI Deep Research - 知乎 Local Deep Research 是一款功能强大且灵活的研究助手,它将先进的 AI 技术与多源搜索功能相结合,为用户提供了一个高效、精准且安全的研究平台。 无论是在学术、商业还是新闻领域,该工具都能成为用户不可或缺的得力助手,助力用户更深入地探索知识世界。
LearningCircuit local-deep-research - GitHub Local Deep Research is a powerful AI research assistant that: Performs iterative, multi-source research on any topic; Creates comprehensive reports or quick summaries with proper citations; Runs locally for complete privacy when using local LLMs; Searches across multiple sources including academic databases the web