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Contents
Perplexica also provides an api for developers looking to integrate its powerful search engine into their own applications It covers the system's purpose, key features, technology stack, and architectural components. You can run searches, use multiple models and get answers to your queries.
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Though it might be not definitive test, still could give you impression what to expect from different models when they are used with perplexica After the containers are built, you can start perplexica directly from docker without having to open a terminal. The best models are mistral nemo 12b, both.
This document covers the installation methods and deployment architecture for perplexica
It provides an overview of the available deployment options, container architecture, data persistence mechanisms, and the initial setup process.
