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    FreeAskInternet is a completely free, PRIVATE and LOCALLY running search aggregator & answer generate using MULTI LLMs, without GPU needed. The user can ask a question and the system will make a multi engine search and combine the search result to LLM and generate the answer based on search results. It's all FREE to use.

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    nashsu/FreeAskInternet

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    FreeAskInternet

    ?????? Yeah we have a logo now! ??????

    lgoo

    Running www.perplexity.ai like app complete FREE, LOCAL, PRIVATE and NO GPU NEED on any computer [!IMPORTANT]
    If you are unable to use this project normally, it is most likely due to issues with your internet connection or your IP, you need free internet connection to use this project normally. 如果您無法正常使用此項目,很可能是由于您的 IP 存在問題,或者你不能自由訪問互聯網。

    What is FreeAskInternet

    FreeAskInternet is a completely free, private and locally running search aggregator & answer generate using LLM, Without GPU needed. The user can ask a question and the system will use searxng to make a multi engine search and combine the search result to the ChatGPT3.5 LLM and generate the answer based on search results. All process running locally and No GPU or OpenAI or Google API keys are needed.

    Features

    • ??? Completely FREE (no need for any API keys)
    • ?? Completely LOCAL (no GPU need, any computer can run )
    • ?? Completely PRIVATE (all thing running locally, using custom llm)
    • ?? Runs WITHOUT LLM Hardware (NO GPU NEED!)
    • ?? Using Free ChatGPT3.5 / Qwen / Kimi / ZhipuAI(GLM) API (NO API keys need! Thx OpenAI)
    • ?? Custom LLM(ollama,llama.cpp) support, Yes we love ollama!
    • ?? Fast and easy to deploy with Docker Compose
    • ?? Web and Mobile friendly interface, designed for Web Search enhanced AI Chat, allowing for easy access from any device.

    Screenshots

    1. index:

    index

    1. Search based AI Chat:

    index

    1. Multi LLM models and custom LLM like ollama support:

    index

    How It Works?

    1. System get user input question in FreeAskInternet UI interface( running locally), and call searxng (running locally) to make search on multi search engine.
    2. crawl search result links content and pass to ChatGPT3.5 / Kimi / Qwen / ZhipuAI / ollama (by using custom llm), ask LLM to answer user question based on this contents as references.
    3. Stream the answer to Chat UI.
    4. We support custom LLM setting, so theoretically infinite llm support.

    Status

    This project is still in its very early days. Expect some bugs.

    Run the latest release

    git clone https://github.com/nashsu/FreeAskInternet.git
    cd ./FreeAskInternet
    docker-compose up -d 

    ?? You should now be able to open the web interface on http://localhost:3000. Nothing else is exposed by default.( For old web interface, accessing http://localhost:3030)

    How to get and set Kimi / Qwen / ZhipuAI Token?

    How to get Token?

    We are using https://github.com/LLM-Red-Team projects to provide those service, you can reference to their readme.

    Reference : https://github.com/LLM-Red-Team/kimi-free-api

    setting token

    How to using custom LLM like ollama? (Yes we love ollama)

    1. start ollama serve
    export OLLAMA_HOST=0.0.0.0
    ollama serve
    1. set ollama url in setting: You MUST using your computer's ip address, not localhost/127.0.0.1, because in docker you can't access this address. The model name is the model you want to serve by ollama. setting custom llm url

    ollama model Reference : https://ollama.com/library

    How to update to latest

    cd ./FreeAskInternet
    git pull
    docker compose down
    docker compose rm backend
    docker compose rm free_ask_internet_ui
    docker image rm nashsu/free_ask_internet
    docker image rm nashsu/free_ask_internet_ui
    docker-compose up -d

    Credits

    Special thanks to our logo designer

    AdlerMurcus

    License

    Apache-2.0 license

    Star History

    Star History Chart

    About

    FreeAskInternet is a completely free, PRIVATE and LOCALLY running search aggregator & answer generate using MULTI LLMs, without GPU needed. The user can ask a question and the system will make a multi engine search and combine the search result to LLM and generate the answer based on search results. It's all FREE to use.

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