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## Perplexica's Architecture
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Perplexica's architecture consists of the following key components:
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1. **User Interface**: A web-based interface that allows users to interact with Perplexica for searching images, videos,
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and much more.
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2. **Agent/Chains**: These components predict Perplexica's next actions, understand user queries, and decide whether a
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web search is necessary.
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3. **SearXNG**: A metadata search engine used by Perplexica to search the web for sources.
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4. **LLMs (Large Language Models)**: Utilized by agents and chains for tasks like understanding content, writing
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responses, and citing sources. Examples include Claude, GPTs, etc.
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5. **Embedding Models**: To improve the accuracy of search results, embedding models re-rank the results using
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similarity search algorithms such as cosine similarity and dot product distance.
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For a more detailed explanation of how these components work together,
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see [WORKING.md](https://github.com/ItzCrazyKns/Perplexica/tree/master/docs/architecture/WORKING.md).
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