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Vane

Open Source
★ 37,280 • Updated Oct 12, 2026, 09:03 PM

Vane is an AI-powered answering engine that runs entirely on the user's own hardware, providing a privacy-focused solution for searching the internet.

Use Cases ▼
01

Research and information gathering

02

Private search engine for personal use

03

Integration with other applications for customized search functionality

04

Use in educational institutions for secure and private search

05

Use in businesses for private and controlled search

What Problem It Solves ▼

Vane solves the problem of privacy concerns associated with traditional search engines by providing a self-hosted, AI-powered answering engine that keeps searches completely private. It also addresses the issue of limited control over search results by allowing users to pick their sources, use local LLMs, and configure their settings. Additionally, Vane helps users to find accurate answers with cited sources, making it a reliable tool for research and information gathering.

Key Features ▼
✓

Privacy-focused

✓

Support for local LLMs and cloud providers

✓

Customizable search settings

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Accurate answers with cited sources

Overview

Vane is an AI-powered answering engine that runs entirely on the user's own hardware, providing a privacy-focused solution for searching the internet. It combines knowledge from the internet with support for local LLMs (Ollama) and cloud providers (OpenAI, Claude, Groq), delivering accurate answers with cited sources while keeping searches completely private. The tool offers various features such as support for all major AI providers, smart search modes, the ability to pick sources, widgets for quick lookups, web search powered by SearxNG, image and video search, file uploads, search specific domains, smart suggestions, discover, and search history. Vane can be easily installed using Docker or without Docker, and it provides an API for developers to integrate its powerful search engine into their own applications.

Pros & Cons

Pros

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Privacy-focused

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Support for local LLMs and cloud providers

+

Customizable search settings

+

Accurate answers with cited sources

Cons

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Requires technical expertise for installation and configuration

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Limited support for certain features without Docker

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Dependence on external services for some functionalities

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