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@@ -22,7 +22,7 @@ The following table provides an index of tools in prompt flow. If existing tools
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|[Prompt](./prompt-tool.md)| Craft a prompt by using Jinja as the templating language. | Default |[promptflow-tools](https://pypi.org/project/promptflow-tools/)|
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|[Python](./python-tool.md)| Run Python code. | Default |[promptflow-tools](https://pypi.org/project/promptflow-tools/)|
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|[Vector Index Lookup](./vector-index-lookup-tool.md)| Search text or a vector-based query from a vector index. | Default |[promptflow-vectordb](https://pypi.org/project/promptflow-vectordb/)|
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|[Content Safety (Text)](./content-safety-tool.md)| Use Azure AI Content Safety to detect harmful content. | Default |[promptflow-tools](https://pypi.org/project/promptflow-contentsafety/)|
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|[Content Safety (Text)](./content-safety-tool.md)| Use Azure AI Content Safety to detect harmful content. | Default |[promptflow-tools](https://pypi.org/project/promptflow-tools/)|
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|[Faiss Index Lookup](./faiss-index-lookup-tool.md)| Search a vector-based query from the Faiss index file. | Default |[promptflow-vectordb](https://pypi.org/project/promptflow-vectordb/)|
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|[Vector DB Lookup](./vector-db-lookup-tool.md)| Search a vector-based query from an existing vector database. | Default |[promptflow-vectordb](https://pypi.org/project/promptflow-vectordb/)|
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|[Embedding](./embedding-tool.md)| Use Azure Open AI embedding models to create an embedding vector that represents the input text. | Default |[promptflow-tools](https://pypi.org/project/promptflow-tools/)|
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