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Changed qdrant docs #3729

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b67434e
Changed qdrant docs
Vidit-Ostwal Oct 18, 2025
af66e1e
COMMIT - Updated Korean and Portuguese translations for the Qdrant Ve…
Vidit-Ostwal Oct 29, 2025
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2 changes: 1 addition & 1 deletion docs/en/tools/database-data/qdrantvectorsearchtool.mdx
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Expand Up @@ -214,7 +214,7 @@ The tool returns results in JSON format:

## Default Embedding

By default, the tool uses OpenAI's `text-embedding-3-small` model for vectorization. This requires:
By default, the tool uses OpenAI's `text-embedding-3-large` model for vectorization. This requires:
- OpenAI API key set in environment: `OPENAI_API_KEY`

## Custom Embeddings
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5 changes: 3 additions & 2 deletions docs/ko/tools/database-data/qdrantvectorsearchtool.mdx
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Expand Up @@ -212,10 +212,11 @@ print(result)
]
```


## 기본 임베딩

기본적으로, 이 도구는 벡터화를 위해 OpenAI의 `text-embedding-3-small` 모델을 사용합니다. 이를 위해서는 다음이 필요합니다:
- 환경변수에 설정된 OpenAI API 키: `OPENAI_API_KEY`
기본적으로 이 도구는 벡터화를 위해 OpenAI의 `text-embedding-3-large` 모델을 사용합니다. 이는 다음을 요구합니다:
- 환경 변수에 설정된 OpenAI API 키: `OPENAI_API_KEY`

## 커스텀 임베딩

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5 changes: 3 additions & 2 deletions docs/pt-BR/tools/database-data/qdrantvectorsearchtool.mdx
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Expand Up @@ -212,10 +212,11 @@ A ferramenta retorna resultados no formato JSON:
]
```


## Embedding Padrão

Por padrão, a ferramenta utiliza o modelo `text-embedding-3-small` da OpenAI para vetorização. Isso requer:
- Chave de API da OpenAI definida na variável de ambiente: `OPENAI_API_KEY`
Por padrão, a ferramenta utiliza o modelo `text-embedding-3-large` da OpenAI para vetorização. Isso requer:
- Chave da API da OpenAI configurada no ambiente: `OPENAI_API_KEY`

## Embeddings Personalizados

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