Perplexica is an open-source AI-powered searching tool or an AI-powered search engine that goes deep into the internet to find answers. Inspired by Perplexity AI, it's an open-source option that not just searches the web but understands your questions. It uses advanced machine learning algorithms like similarity searching and embeddings to refine results and provides clear answers with sources cited.
Using SearxNG to stay current and fully open source, Perplexica ensures you always get the most up-to-date information without compromising your privacy.
Want to know more about its architecture and how it works? You can read it here.
It has many more features like image and video search. Some of the planned features are mentioned in upcoming features.
There are mainly 2 ways of installing Perplexica - With Docker, Without Docker. Using Docker is highly recommended.
Ensure Docker is installed and running on your system.
Clone the Perplexica repository:
git clone https://github.com/ItzCrazyKns/Perplexica.git
After cloning, navigate to the directory containing the project files.
Rename the sample.config.toml
file to config.toml
. For Docker setups, you need only fill in the following fields:
OPENAI
: Your OpenAI API key. You only need to fill this if you wish to use OpenAI's models.
OLLAMA
: Your Ollama API URL. You should enter it as http://host.docker.internal:PORT_NUMBER
. If you installed Ollama on port 11434, use http://host.docker.internal:11434
. For other ports, adjust accordingly. You need to fill this if you wish to use Ollama's models instead of OpenAI's.
GROQ
: Your Groq API key. You only need to fill this if you wish to use Groq's hosted models
Note: You can change these after starting Perplexica from the settings dialog.
SIMILARITY_MEASURE
: The similarity measure to use (This is filled by default; you can leave it as is if you are unsure about it.)
Ensure you are in the directory containing the docker-compose.yaml
file and execute:
docker compose up -d
Wait a few minutes for the setup to complete. You can access Perplexica at http://localhost:3000 in your web browser.
Note: After the containers are built, you can start Perplexica directly from Docker without having to open a terminal.
sample.config.toml
file to config.toml
in the root directory. Ensure you complete all required fields in this file..env.example
file to .env
in the ui
folder and fill in all necessary fields.npm i
in both the ui
folder and the root directory.npm run build
in both the ui
folder and the root directory.npm run start
in both the ui
folder and the root directory.Note: Using Docker is recommended as it simplifies the setup process, especially for managing environment variables and dependencies.
See the installation documentation for more information like exposing it your network, etc.
If you're facing an Ollama connection error, it is often related to the backend not being able to connect to Ollama's API. How can you fix it? You can fix it by updating your Ollama API URL in the settings menu to the following:
On Windows: http://host.docker.internal:11434
On Mac: http://host.docker.internal:11434
On Linux: http://private_ip_of_computer_hosting_ollama:11434
You need to edit the ports accordingly.
If you wish to use Perplexica as an alternative to traditional search engines like Google or Bing, or if you want to add a shortcut for quick access from your browser's search bar, follow these steps:
http://localhost:3000/?q=%s
. Replace localhost
with your IP address or domain name, and 3000
with the port number if Perplexica is not hosted locally.If you find Perplexica useful, consider giving us a star on GitHub. This helps more people discover Perplexica and supports the development of new features. Your support is greatly appreciated.
We also accept donations to help sustain our project. If you would like to contribute, you can use the following button to make a donation in cryptocurrency. Thank you for your support!
Perplexica is built on the idea that AI and large language models should be easy for everyone to use. If you find bugs or have ideas, please share them in via GitHub Issues. For more information on contributing to Perplexica you can read the CONTRIBUTING.md file to learn more about Perplexica and how you can contribute to it.
If you have any questions or feedback, please feel free to reach out to us. You can create an issue on GitHub or join our Discord server. There, you can connect with other users, share your experiences and reviews, and receive more personalized help. Click here to join the Discord server. To discuss matters outside of regular support, feel free to contact me on Discord at itzcrazykns
.
Thank you for exploring Perplexica, the AI-powered search engine designed to enhance your search experience. We are constantly working to improve Perplexica and expand its capabilities. We value your feedback and contributions which help us make Perplexica even better. Don't forget to check back for updates and new features!
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