Полный коммит проекта Perplexica
Co-authored-by: Cursor <cursoragent@cursor.com>
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docs/architecture/README.md
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# Perplexica Architecture
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Perplexica is a Next.js application that combines an AI chat experience with search.
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For a high level flow, see [WORKING.md](WORKING.md). For deeper implementation details, see [CONTRIBUTING.md](../../CONTRIBUTING.md).
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## Key components
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1. **User Interface**
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- A web based UI that lets users chat, search, and view citations.
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2. **API Routes**
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- `POST /api/chat` powers the chat UI.
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- `POST /api/search` provides a programmatic search endpoint.
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- `GET /api/providers` lists available providers and model keys.
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3. **Agents and Orchestration**
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- The system classifies the question first.
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- It can run research and widgets in parallel.
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- It generates the final answer and includes citations.
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4. **Search Backend**
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- A meta search backend is used to fetch relevant web results when research is enabled.
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5. **LLMs (Large Language Models)**
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- Used for classification, writing answers, and producing citations.
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6. **Embedding Models**
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- Used for semantic search over user uploaded files.
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7. **Storage**
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- Chats and messages are stored so conversations can be reloaded.
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