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docs: quote pip extras install examples #625

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14 changes: 7 additions & 7 deletions README.hi-IN.md
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वैकल्पिक डिपेंडेंसी ग्रुप:

```bash
pip install code-review-graph[embeddings] # लोकल वेक्टर एम्बेडिंग (sentence-transformers)
pip install code-review-graph[google-embeddings] # Google Gemini एम्बेडिंग
pip install code-review-graph[communities] # कम्युनिटी डिटेक्शन (igraph)
pip install code-review-graph[enrichment] # Python call-resolution enrichment (Jedi)
pip install code-review-graph[eval] # मूल्यांकन बेंचमार्क (matplotlib)
pip install code-review-graph[wiki] # LLM सारांश के साथ विकी जनरेशन (ollama)
pip install code-review-graph[all] # सभी वैकल्पिक डिपेंडेंसीज़
pip install 'code-review-graph[embeddings]' # लोकल वेक्टर एम्बेडिंग (sentence-transformers)
pip install 'code-review-graph[google-embeddings]' # Google Gemini एम्बेडिंग
pip install 'code-review-graph[communities]' # कम्युनिटी डिटेक्शन (igraph)
pip install 'code-review-graph[enrichment]' # Python call-resolution enrichment (Jedi)
pip install 'code-review-graph[eval]' # मूल्यांकन बेंचमार्क (matplotlib)
pip install 'code-review-graph[wiki]' # LLM सारांश के साथ विकी जनरेशन (ollama)
pip install 'code-review-graph[all]' # सभी वैकल्पिक डिपेंडेंसीज़
```

OpenAI-compatible एम्बेडिंग्स (असली OpenAI, Azure, या सेल्फ-होस्टेड गेटवे जैसे new-api / LiteLLM / vLLM / LocalAI / Ollama openai मोड) के लिए कोई अतिरिक्त इंस्टॉल की ज़रूरत नहीं — बस एनवायरनमेंट वेरिएबल्स सेट करें और `embed_graph` को `provider="openai"` पास करें:
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14 changes: 7 additions & 7 deletions README.ja-JP.md
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オプションの依存グループ：

```bash
pip install code-review-graph[embeddings] # ローカルベクトル埋め込み (sentence-transformers)
pip install code-review-graph[google-embeddings] # Google Gemini埋め込み
pip install code-review-graph[communities] # コミュニティ検出 (igraph)
pip install code-review-graph[enrichment] # Python呼び出し解決の補強 (Jedi)
pip install code-review-graph[eval] # 評価ベンチマーク (matplotlib)
pip install code-review-graph[wiki] # LLMサマリー付きWiki生成 (ollama)
pip install code-review-graph[all] # 全オプション依存
pip install 'code-review-graph[embeddings]' # ローカルベクトル埋め込み (sentence-transformers)
pip install 'code-review-graph[google-embeddings]' # Google Gemini埋め込み
pip install 'code-review-graph[communities]' # コミュニティ検出 (igraph)
pip install 'code-review-graph[enrichment]' # Python呼び出し解決の補強 (Jedi)
pip install 'code-review-graph[eval]' # 評価ベンチマーク (matplotlib)
pip install 'code-review-graph[wiki]' # LLMサマリー付きWiki生成 (ollama)
pip install 'code-review-graph[all]' # 全オプション依存
```

OpenAI互換の埋め込み（本家OpenAI、Azure、または自前のゲートウェイ: new-api / LiteLLM / vLLM / LocalAI / Ollama openaiモード）は追加インストール不要です。環境変数を設定し、`embed_graph` に `provider="openai"` を渡すだけで動作します：
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14 changes: 7 additions & 7 deletions README.ko-KR.md
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선택적 의존성 그룹:

```bash
pip install code-review-graph[embeddings] # 로컬 벡터 임베딩 (sentence-transformers)
pip install code-review-graph[google-embeddings] # Google Gemini 임베딩
pip install code-review-graph[communities] # 커뮤니티 감지 (igraph)
pip install code-review-graph[enrichment] # Python 호출 해결 보강 (Jedi)
pip install code-review-graph[eval] # 평가 벤치마크 (matplotlib)
pip install code-review-graph[wiki] # LLM 요약 위키 생성 (ollama)
pip install code-review-graph[all] # 모든 선택적 의존성
pip install 'code-review-graph[embeddings]' # 로컬 벡터 임베딩 (sentence-transformers)
pip install 'code-review-graph[google-embeddings]' # Google Gemini 임베딩
pip install 'code-review-graph[communities]' # 커뮤니티 감지 (igraph)
pip install 'code-review-graph[enrichment]' # Python 호출 해결 보강 (Jedi)
pip install 'code-review-graph[eval]' # 평가 벤치마크 (matplotlib)
pip install 'code-review-graph[wiki]' # LLM 요약 위키 생성 (ollama)
pip install 'code-review-graph[all]' # 모든 선택적 의존성
```

OpenAI 호환 임베딩(실제 OpenAI, Azure, 또는 자체 호스팅 게이트웨이 new-api / LiteLLM / vLLM / LocalAI / Ollama openai 모드)은 추가 설치가 필요하지 않습니다. 환경 변수만 설정하고 `embed_graph`에 `provider="openai"`를 전달하면 됩니다:
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14 changes: 7 additions & 7 deletions README.md
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Expand Up @@ -475,13 +475,13 @@ Note: in git repos, only tracked files are indexed (`git ls-files`), so gitignor
Optional dependency groups:

```bash
pip install code-review-graph[embeddings] # Local vector embeddings (sentence-transformers)
pip install code-review-graph[google-embeddings] # Google Gemini embeddings
pip install code-review-graph[communities] # Community detection (igraph)
pip install code-review-graph[enrichment] # Python call-resolution enrichment (Jedi)
pip install code-review-graph[eval] # Evaluation benchmarks (matplotlib)
pip install code-review-graph[wiki] # Wiki generation with LLM summaries (ollama)
pip install code-review-graph[all] # All optional dependencies
pip install 'code-review-graph[embeddings]' # Local vector embeddings (sentence-transformers)
pip install 'code-review-graph[google-embeddings]' # Google Gemini embeddings
pip install 'code-review-graph[communities]' # Community detection (igraph)
pip install 'code-review-graph[enrichment]' # Python call-resolution enrichment (Jedi)
pip install 'code-review-graph[eval]' # Evaluation benchmarks (matplotlib)
pip install 'code-review-graph[wiki]' # Wiki generation with LLM summaries (ollama)
pip install 'code-review-graph[all]' # All optional dependencies
```

### Environment Variables
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14 changes: 7 additions & 7 deletions README.zh-CN.md
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可选依赖组：

```bash
pip install code-review-graph[embeddings] # 本地向量嵌入 (sentence-transformers)
pip install code-review-graph[google-embeddings] # Google Gemini 嵌入
pip install code-review-graph[communities] # 社区检测 (igraph)
pip install code-review-graph[enrichment] # Python 调用解析增强 (Jedi)
pip install code-review-graph[eval] # 评估基准测试 (matplotlib)
pip install code-review-graph[wiki] # 使用 LLM 摘要生成 Wiki (ollama)
pip install code-review-graph[all] # 所有可选依赖
pip install 'code-review-graph[embeddings]' # 本地向量嵌入 (sentence-transformers)
pip install 'code-review-graph[google-embeddings]' # Google Gemini 嵌入
pip install 'code-review-graph[communities]' # 社区检测 (igraph)
pip install 'code-review-graph[enrichment]' # Python 调用解析增强 (Jedi)
pip install 'code-review-graph[eval]' # 评估基准测试 (matplotlib)
pip install 'code-review-graph[wiki]' # 使用 LLM 摘要生成 Wiki (ollama)
pip install 'code-review-graph[all]' # 所有可选依赖
```

OpenAI 兼容嵌入（真实 OpenAI、Azure，或自建网关如 new-api / LiteLLM / vLLM / LocalAI / Ollama openai 模式）无需额外安装 —— 只需设置环境变量并在 `embed_graph` 中传入 `provider="openai"`：
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