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AI Search Tools

VaneAI tool

Search public web sources with SearXNG and discuss results using a local model.

Free local software · own server

This local model route has no required paid API or software subscription. You provide hardware, storage, electricity and download/network access. Self-hosted web search still sends queries to search engines and websites; it is not offline. Paid model and hosted search providers are separate.

Check official pricing

Visit website Source repository

37kRepository stars

4.2kForks

MITLicense

1mo agoLast commit

VaneProduct logo · See the interface on the official website

Vane · product logo

About Vane

Search public web sources with SearXNG and discuss results using a local model. A self-hosting option is recorded for this project. Review the official deployment instructions and maintenance requirements before running it yourself.

Release status

The renamed Perplexica project has a public documented local installation, bundled SearXNG and Ollama provider. No installation was executed by AltStack.

Availability checked 17 Oct 2026. Check the provider’s release or installation information

Installation and setup

Set up your own server · Instructions checked 2026-10-17

Follow the official Docker installation and keep the published Vane UI port bound to localhost. Its full image includes SearXNG; persist the data volume.
Prepare a local Ollama server with downloaded qwen3 and nomic-embed-text models. Configure a private container-to-runtime connection as described by the provider; do not expose an unauthenticated model port to untrusted networks.
Open localhost:3000, configure the Ollama provider using its reachable local base URL, and choose local chat and embedding models. Do not add paid provider keys.
Ask a short web question and read the linked sources. If a search engine blocks or rate-limits requests, preserve those limits; no bypass or complete search coverage is promised.

Docker/Compose and a local model runtime require sufficient CPU/RAM or GPU memory and disk space for chat and embedding models. The provider gives no universal minimum; model/context size drives the main cost. This local model route has no required paid API or software subscription. You provide hardware, storage, electricity and download/network access. Self-hosted web search still sends queries to search engines and websites; it is not offline. Paid model and hosted search providers are separate.

Official setup instructions Official download Related guide: Use AI for research without losing the original sources

Explore the project

Technology stack

Technologies recorded in the catalog snapshot.

Typescript

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Loading this page…

AI Search Tools

VaneAI tool

Search public web sources with SearXNG and discuss results using a local model.

Free local software · own server

Check official pricing

Visit website Source repository

37kRepository stars

4.2kForks

MITLicense

1mo agoLast commit

VaneProduct logo · See the interface on the official website

Vane · product logo

About Vane

Release status

The renamed Perplexica project has a public documented local installation, bundled SearXNG and Ollama provider. No installation was executed by AltStack.

Availability checked 17 Oct 2026. Check the provider’s release or installation information

Installation and setup

Set up your own server · Instructions checked 2026-10-17

Follow the official Docker installation and keep the published Vane UI port bound to localhost. Its full image includes SearXNG; persist the data volume.
Prepare a local Ollama server with downloaded qwen3 and nomic-embed-text models. Configure a private container-to-runtime connection as described by the provider; do not expose an unauthenticated model port to untrusted networks.
Open localhost:3000, configure the Ollama provider using its reachable local base URL, and choose local chat and embedding models. Do not add paid provider keys.
Ask a short web question and read the linked sources. If a search engine blocks or rate-limits requests, preserve those limits; no bypass or complete search coverage is promised.

Official setup instructions Official download Related guide: Use AI for research without losing the original sources

Explore the project

AI Search Tools AI Research Assistants

Technology stack

Technologies recorded in the catalog snapshot.

Typescript

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