Add the index for azure ai language tool to the tools overview page

Author: ChenJieting

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

@@ -23,13 +23,20 @@ The following table provides an index of tools in prompt flow.
 | [Prompt](./prompt-tool.md) | Craft a prompt by using Jinja as the templating language. | Default | [promptflow-tools](https://pypi.org/project/promptflow-tools/) |
 | [Python](./python-tool.md) | Run Python code. | 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/) |
-| [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/) |
 | [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/) |
+| [Index Lookup](./index-lookup-tool.md) | Search an AzureML Vector Index for relevant results using one or more text queries. | Default | [promptflow-vectordb](https://pypi.org/project/promptflow-vectordb/) |
+| [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/) |
 | [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/) |
 | [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/) |
 | [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/) |
 | [Serp API](./serp-api-tool.md) | Use Serp API to obtain search results from a specific search engine. | Default | [promptflow-tools](https://pypi.org/project/promptflow-tools/) |
 
+The following table shows an index of custom tools created by the community to extend prompt flow's capabilities for specific use case. They are not officially maintained or endorsed by prompt flow team. For questions or issues when using a tool, please use the support contact in the description.
+
+| Tool name | Description | Environment | Package name | 
+|------|-----------|-------------|--------------|
+| [Azure AI Language tools](https://microsoft.github.io/promptflow/integrations/tools/azure-ai-language-tool.html) | Azure AI Language enables users with task-oriented and optimized pre-trained or custom language models to effectively understand and analyze documents and conversations. This collection of tools is a wrapper for various Azure AI Language APIs. The current list of supported capabilities is as follows: **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). **Support contact:** [email protected] | Custom | [promptflow-azure-ai-language](https://pypi.org/project/promptflow-azure-ai-language/) |
+
 To discover more custom tools developed by the open-source community, see [More custom tools](https://microsoft.github.io/promptflow/integrations/tools/index.html).
 
 ## Remarks

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

@@ -30,11 +30,19 @@ The following table shows an index of tools in prompt flow.
 | [Open Model LLM](./open-model-llm-tool.md) | Uses an open-source model from the Azure Model catalog, deployed to an Azure Machine Learning online endpoint for large language model Chat or Completion API calls. | Default | [promptflow-tools](https://pypi.org/project/promptflow-tools/) |
 | [Serp API](./serp-api-tool.md) | Uses Serp API to obtain search results from a specific search engine. | Default | [promptflow-tools](https://pypi.org/project/promptflow-tools/) |
 | [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 (preview)](./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/) |
+| [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 AzureML 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/) |
 
+The following table shows an index of custom tools created by the community to extend prompt flow's capabilities for specific use case. They are not officially maintained or endorsed by prompt flow team. For questions or issues when using a tool, please use the support contact in the description.
+
+| Tool name | Description | Environment | Package name | 
+|------|-----------|-------------|--------------|
+| [Azure AI Language tools](https://microsoft.github.io/promptflow/integrations/tools/azure-ai-language-tool.html) | Azure AI Language enables users with task-oriented and optimized pre-trained or custom language models to effectively understand and analyze documents and conversations. This collection of tools is a wrapper for various Azure AI Language APIs. The current list of supported capabilities is as follows: **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). **Support contact:** [email protected] | Custom | [promptflow-azure-ai-language](https://pypi.org/project/promptflow-azure-ai-language/) |
+
 To discover more custom tools developed by the open-source community, see [More custom tools](https://microsoft.github.io/promptflow/integrations/tools/index.html).