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12 lines
1015 B
Markdown
12 lines
1015 B
Markdown
# 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, and much more.
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2. **Agent/Chains**: These components predict Perplexica's next actions, understand user queries, and decide whether a 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 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 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, see [WORKING.md](https://github.com/ItzCrazyKns/Perplexica/tree/master/docs/architecture/WORKING.md).
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