Showing 4 open source projects for "search engine"

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  • 1
    Vane

    Vane

    Vane is an AI-powered answering engine

    Vane is a privacy-focused AI-powered answering engine that combines web search, AI reasoning, and multiple language model providers into a locally controlled search experience. The platform supports both local LLMs through Ollama and cloud providers such as OpenAI, Claude, Gemini, and Groq, giving users flexibility in how queries are processed. It integrates web search through SearxNG while also supporting discussions, academic sources, image search, and video search to generate citation-backed responses. ...
    Downloads: 22 This Week
    Last Update:
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  • 2
    Mantic.sh

    Mantic.sh

    A structural code search engine for Al agents

    Mantic.sh is a context-aware, structural code search engine designed specifically for use with AI coding agents and developers who need deep, semantically relevant search across large codebases. Unlike traditional text-based search tools that mainly match keywords, Mantic.sh understands code structure and meaning by combining syntactic heuristics with neural semantic reranking to produce results that reflect conceptual relevance, which helps find functions, definitions, and patterns that literal search might miss. ...
    Downloads: 0 This Week
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  • 3
    DocuBrowse

    DocuBrowse

    This does for Documents what repo-browser does for repos

    DocuBrowse is a local AI-powered document search engine for personal or professional file collections. It indexes documents such as PDFs, Word files, spreadsheets, presentations, ebooks, HTML, text, and Markdown. The system combines SQLite FTS5 keyword search with local semantic embeddings for meaning-based retrieval. Users can click search results to generate an AI synopsis before opening the original file.
    Downloads: 4 This Week
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  • 4
    VulnClaw

    VulnClaw

    Based on AI Agent + MCP toolchain + penetration Skill orchestration

    ...The project can guide information gathering, vulnerability discovery, validation, and report generation while keeping the workflow organized through sessions and tools. Its newer architecture uses a goal-driven solving engine instead of a fixed-round loop, helping the agent stop when the goal is reached, the search space is exhausted, or a safety budget is met. It also includes evidence checks designed to reduce hallucinated conclusions by requiring real tool output before accepting key findings. VulnClaw is intended for authorized testing, CTFs, security education, and controlled red-team environments.
    Downloads: 6 This Week
    Last Update:
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    Train ML Models With SQL You Already Know

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