Merge pull request #281413 from ChenJieting/jieting/remove_legacy_tools_index_for_tool_overview

Jieting/remove legacy tools index for tool overview

Author: prmerger-automator[bot]

articles/ai-studio/how-to/prompt-flow-tools/prompt-flow-tools-overview.md

@@ -20,15 +20,15 @@ author: lgayhardt
 The following table provides an index of tools in prompt flow.
 
 | Tool name | Description | Package name |
-|------|-----------|-------------|--------------|
+|------|-----------|-------------|
 | [LLM](./llm-tool.md) | Use large language models (LLM) with the Azure OpenAI Service for tasks such as text completion or chat. | [promptflow-tools](https://pypi.org/project/promptflow-tools/) |
 | [Prompt](./prompt-tool.md) | Craft a prompt by using Jinja as the templating language. | [promptflow-tools](https://pypi.org/project/promptflow-tools/) |
 | [Python](./python-tool.md) | Run Python code. | [promptflow-tools](https://pypi.org/project/promptflow-tools/) |
 | [Azure OpenAI GPT-4 Turbo with Vision](./azure-open-ai-gpt-4v-tool.md) | Use an Azure OpenAI GPT-4 Turbo with Vision model deployment to analyze images and provide textual responses to questions about them. | [promptflow-tools](https://pypi.org/project/promptflow-tools/) |
 | [Content Safety (Text)](./content-safety-tool.md) | Use Azure AI Content Safety to detect harmful content. | [promptflow-tools](https://pypi.org/project/promptflow-tools/) |
 | [Embedding](./embedding-tool.md) | Use Azure OpenAI embedding models to create an embedding vector that represents the input text. | [promptflow-tools](https://pypi.org/project/promptflow-tools/) |
 | [Serp API](./serp-api-tool.md) | Use Serp API to obtain search results from a specific search engine. | [promptflow-tools](https://pypi.org/project/promptflow-tools/) |
-| [Index Lookup](./index-lookup-tool.md) | Search a vector-based query for relevant results using one or more text queries. | [promptflow-vectordb](https://pypi.org/project/promptflow-vectordb/) |
+| [Index Lookup](./index-lookup-tool.md)<sup>1</sup> | Search a vector-based query for relevant results using one or more text queries. | [promptflow-vectordb](https://pypi.org/project/promptflow-vectordb/) |
 
 <sup>1</sup> The Index Lookup tool replaces the three deprecated legacy index tools: Vector Index Lookup, Vector DB Lookup, and Faiss Index Lookup. If you have a flow that contains one of those tools, follow the [migration steps](./index-lookup-tool.md#migrate-from-legacy-tools-to-the-index-lookup-tool) to upgrade your flow.
 

articles/machine-learning/prompt-flow/tools-reference/overview.md

@@ -33,12 +33,11 @@ The following table shows an index of tools in prompt flow.
 | [Content Safety (Text)](./content-safety-text-tool.md) | Uses Azure Content Safety to detect harmful content. | Default | [promptflow-tools](https://pypi.org/project/promptflow-tools/) |
 | [Azure OpenAI GPT-4 Turbo with Vision](./azure-open-ai-gpt-4v-tool.md) | Use AzureOpenAI GPT-4 Turbo with Vision model deployment to analyze images and provide textual responses to questions about them. | Default | [promptflow-tools](https://pypi.org/project/promptflow-tools/) |
 | [OpenAI GPT-4V](./openai-gpt-4v-tool.md) | Use OpenAI GPT-4V to leverage vision ability. | Default | [promptflow-tools](https://pypi.org/project/promptflow-tools/) |
-| [Index Lookup](./index-lookup-tool.md)* | Search an Azure Machine Learning Vector Index for relevant results using one or more text queries. | Default | [promptflow-vectordb](https://pypi.org/project/promptflow-vectordb/) |
-| [Faiss Index Lookup](./faiss-index-lookup-tool.md)* | Searches a vector-based query from the Faiss index file. | Default | [promptflow-vectordb](https://pypi.org/project/promptflow-vectordb/) |
-| [Vector DB Lookup](./vector-db-lookup-tool.md)* | Searches a vector-based query from existing vector database. | Default | [promptflow-vectordb](https://pypi.org/project/promptflow-vectordb/) |
-| [Vector Index Lookup](./vector-index-lookup-tool.md)* | Searches text or a vector-based query from Azure Machine Learning vector index. | Default | [promptflow-vectordb](https://pypi.org/project/promptflow-vectordb/) |
+| [Index Lookup](./index-lookup-tool.md)*<sup>1</sup> | Search an Azure Machine Learning Vector Index for relevant results using one or more text queries. | Default | [promptflow-vectordb](https://pypi.org/project/promptflow-vectordb/) |
 | [Azure AI Language tools](https://microsoft.github.io/promptflow/integrations/tools/azure-ai-language-tool.html)* | This collection of tools is a wrapper for various Azure AI Language APIs, which can help effectively understand and analyze documents and conversations. The capabilities currently supported include: Abstractive Summarization, Extractive Summarization, Conversation Summarization, Entity Recognition, Key Phrase Extraction, Language Detection, PII Entity Recognition, Conversational PII, Sentiment Analysis, Conversational Language Understanding, Translator. You can learn how to use them by the [Sample flows](https://github.com/microsoft/promptflow/tree/e4542f6ff5d223d9800a3687a7cfd62531a9607c/examples/flows/integrations/azure-ai-language). | Custom | [promptflow-azure-ai-language](https://pypi.org/project/promptflow-azure-ai-language/) |
 
+<sup>1</sup> The Index Lookup tool replaces the three deprecated legacy index tools: Vector Index Lookup, Vector DB Lookup, and Faiss Index Lookup. If you have a flow that contains one of those tools, follow the [migration steps](./index-lookup-tool.md#how-to-migrate-from-legacy-tools-to-the-index-lookup-tool) to upgrade your flow.
+
 _*The asterisk marks indicate custom tools, which are created by the community that extend prompt flow's capabilities for specific use cases. They aren't officially maintained or endorsed by prompt flow team. When you encounter questions or issues for these tools, prioritize using the support contact if it's provided in the description._
 
 To discover more custom tools developed by the open-source community, see [More custom tools](https://microsoft.github.io/promptflow/integrations/tools/index.html).