Hacker News
LLMNet is a new open-source project presented on Hacker News that allows users to search their local knowledge base using large language models (LLMs) and a Vector Database for an offline, private, AI-powered search experience.
AI 生成摘要
LLMNet 是一個在 Hacker News 上發布的新開源專案，它利用大型語言模型（LLMs）和向量資料庫，讓使用者能夠離線搜尋本地知識庫，提供私密且由 AI 驅動的搜尋體驗。
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The Offline Internet.
The Offline Internet. A premium, private, and AI-powered search experience that lives entirely on your machine.
LLMNet transforms your local LLMs into a structured search engine. It combines the power of local generative AI with a high-performance Vector Database (RAG) to provide instant, offline answers from your own knowledge base.
Ensure you have the following running locally:
Configure your environment variables in .env:
Visit localhost:3000 to start searching.
LLMNet features a recursive ingestion pipeline. Simply paste a documentation URL or a GitHub Wiki link into the Indexer, and the system will:
Built for those who value privacy and data sovereignty.
The Offline Internet.
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