Remove static, outdated lists of available models throughout the UI reference docs (#740)

Paul-Cornell · web-flow · commit 184bbb490529 · 2025-09-16T09:56:31.000-07:00
diff --git a/ui/embedding.mdx b/ui/embedding.mdx
@@ -59,41 +59,9 @@ on Hugging Face:
 
 ## Generate embeddings
 
-To generate embeddings, choose one of the following embedding providers and models in the **Select Embedding Model** section of an **Embedder** node in a workflow:
+To generate embeddings, choose one of the available embedding providers and models in the **Select Embedding Model** section of an **Embedder** node in a workflow.
 
-<Note>You can change a workflow's preconfigured provider only through [Custom](/ui/workflows#create-a-custom-workflow) workflow settings.</Note>
-
-- **Azure OpenAI**: Use [Azure OpenAI](https://azure.microsoft.com/products/ai-services/openai-service) to generate embeddings with one of the following models:
-
-  - **text-embedding-3-small**, with 1536 dimensions.
-  - **text-embedding-3-large**, with 3072 dimensions.
-  - **Ada 002 (Text)** (`text-embedding-ada-002`), with 1536 dimensions.
-
-  [Learn more](https://learn.microsoft.com/azure/ai-services/openai/concepts/models#embeddings).
-
-- **Amazon Bedrock**: Use [Amazon Bedrock](https://aws.amazon.com/bedrock) to generate embeddings with one of the following models:
-
-  - **Titan Text Embeddings V2**, with 1024 dimensions. [Learn more](https://docs.aws.amazon.com/bedrock/latest/userguide/titan-embedding-models.html).
-  - **Titan Embeddings G1 - Text**, with 1536 dimensions. [Learn more](https://docs.aws.amazon.com/bedrock/latest/userguide/titan-embedding-models.html).
-  - **Titan Multimodal Embeddings G1**, with 1024 dimensions. [Learn more](https://docs.aws.amazon.com/bedrock/latest/userguide/titan-multiemb-models.html).
-  - **Cohere Embed English**, with 1024 dimensions. [Learn more](https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-embed.html).
-  - **Cohere Embed Multilingual**, with 1024 dimensions. [Learn more](https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-embed.html).
+When choosing an embedding model, be sure to pay attention to the number of dimensions listed next to each model. This number must match the number of dimensions in the 
+embeddings field of your destination connector's table, collection, or index.
 
-- **TogetherAI**: Use [TogetherAI](https://www.together.ai/) to generate embeddings with one of the following models:
-
-  - **M2-BERT-80M-32K-Retrieval**, with 768 dimensions.
-  
-  [Learn more](https://docs.together.ai/docs/serverless-models#embedding-models).
-
-- **Voyage AI**: Use [Voyage AI](https://www.voyageai.com/) to generate embeddings with one of the following models:
-
-  - **voyage-code-2**, with 1536 dimensions.
-  - **voyage-3**, with 1024 dimensions.
-  - **voyage-3-large**, with 1024 dimensions.
-  - **voyage-3-lite**, with 512 dimensions.
-  - **voyage-code-3**, with 1024 dimensions.
-  - **voyage-finance-2**, with 1024 dimensions.
-  - **voyage-law-2**, with 1024 dimensions.
-  - **voyage-multimodal-3**, with 1024 dimensions.
-
-  [Learn more](https://docs.voyageai.com/docs/embeddings).
+<Note>You can change a workflow's preconfigured provider only through [Custom](/ui/workflows#create-a-custom-workflow) workflow settings.</Note>
diff --git a/ui/enriching/image-descriptions.mdx b/ui/enriching/image-descriptions.mdx
@@ -4,11 +4,7 @@ title: Image descriptions
 
 After partitioning, you can have Unstructured generate text-based summaries of detected images.
 
-This summarization is done by using models offered through these providers:
-
-- [GPT-4o](https://openai.com/index/hello-gpt-4o/), provided through OpenAI.
-- [Claude 3.5 Sonnet](https://www.anthropic.com/news/claude-3-5-sonnet), provided through Anthropic. 
-- [Claude 3.5 Sonnet](https://aws.amazon.com/bedrock/claude/), provided through Amazon Bedrock.
+This summarization is done by using models offered through various model providers.
 
 Here is an example of the output of a detected image using GPT-4o. Note specifically the `text` field that is added. 
 Line breaks have been inserted here for readability. The output will not contain these line breaks. 
@@ -64,7 +60,7 @@ Any embeddings that are produced after these summaries are generated will be bas
 
 import EnrichmentImageSummaryHiResOnly from '/snippets/general-shared-text/enrichment-image-summary-hi-res-only.mdx';
 
-To generate image descriptions, in an **Enrichment** node in a workflow, specify the following:
+To generate image descriptions, in an **Enrichment** node in a workflow, select **Image**, and then choose one of the available provider (and model) combinations that are shown.
 
 <Note>
     You can change a workflow's image description settings only through [Custom](/ui/workflows#create-a-custom-workflow) workflow settings.
@@ -74,9 +70,3 @@ To generate image descriptions, in an **Enrichment** node in a workflow, specify
 </Note>
 
 <EnrichmentImageSummaryHiResOnly />
-
-Select **Image**, and then choose one of the following provider (and model) combinations to use:
-
-- **OpenAI (GPT-4o)**. [Learn more](https://openai.com/index/hello-gpt-4o/).
-- **Anthropic (Claude 3.5 Sonnet)**. [Learn more](https://www.anthropic.com/news/claude-3-5-sonnet).
-- **Amazon Bedrock (Claude 3.5 Sonnet)**. [Learn more](https://aws.amazon.com/bedrock/claude/).
diff --git a/ui/enriching/ner.mdx b/ui/enriching/ner.mdx
@@ -5,10 +5,7 @@ title: Named entity recognition (NER)
 After partitioning, you can have Unstructured generate a list of recognized entities and their types (such as the names of organizations, products, and people) in the content, through a process known as _named entity recognition_ (NER). 
 You can also have Unstructured generate a list of relationships between the entities that are recognized.
 
-This NER is done by using models offered through these providers:
-
-- [GPT-4o](https://openai.com/index/hello-gpt-4o/), provided through OpenAI.
-- [Claude 3.5 Sonnet](https://www.anthropic.com/news/claude-3-5-sonnet), provided through Anthropic. 
+This NER is done by using models offered through various model providers.
 
 Here is an example of a list of recognized entities and their entity types, along with a list of relationships between those 
 entities and their relationship types, using GPT-4o. Note specifically the `entities` field that is added to the `metadata` field.
@@ -147,7 +144,7 @@ To generate a list of recognized entities and their relationships, in an **Enric
 </Note>
 
 1. Select **Text**.
-2. For **Model**, select either **OpenAI (GPT-4o)** or **Anthropic (Claude 3.5 Sonnet)**.
+2. For **Model**, select one of the available models that are shown.
 3. The selected model will follow a default set of instructions (called a _prompt_) to perform NER using a set of predefined entity types and relationships. To experiment 
    with running the default prompt against some sample data, click **Edit**, and then click **Run Prompt**. The selected **Model** uses the 
    **Prompt** to run NER on the **Input sample** and shows the results in the **Output**. Look specifically at the `response_json` field for the 
diff --git a/ui/enriching/table-descriptions.mdx b/ui/enriching/table-descriptions.mdx
@@ -4,11 +4,7 @@ title: Table descriptions
 
 After partitioning, you can have Unstructured generate text-based summaries of detected tables.
 
-This summarization is done by using models offered through these providers:
-
-- [GPT-4o](https://openai.com/index/hello-gpt-4o/), provided through OpenAI.
-- [Claude 3.5 Sonnet](https://www.anthropic.com/news/claude-3-5-sonnet), provided through Anthropic. 
-- [Claude 3.5 Sonnet](https://aws.amazon.com/bedrock/claude/), provided through Amazon Bedrock.
+This summarization is done by using models offered through various model providers.
 
 Here is an example of the output of a detected table using GPT-4o. Note specifically the `text` field that is added.
 Line breaks have been inserted here for readability. The output will not contain these line breaks.
@@ -74,7 +70,10 @@ Any embeddings that are produced after these summaries are generated will be bas
 
 import EnrichmentTableSummaryHiResOnly from '/snippets/general-shared-text/enrichment-table-summary-hi-res-only.mdx';
 
-To generate table descriptions, in an **Enrichment** node in a workflow, specify the following:
+To generate table descriptions, in an **Enrichment** node in a workflow, select **Table**, and then choose one of the available provider (and model) combinations that are shown.
+
+Make sure after you choose the provider and model, that **Table Description** is also displayed. If **Table Description** and **Table to HTML** are both 
+displayed, be sure to select **Table Description**.
 
 <Note>
     You can change a workflow's table description settings only through [Custom](/ui/workflows#create-a-custom-workflow) workflow settings.
@@ -85,14 +84,7 @@ To generate table descriptions, in an **Enrichment** node in a workflow, specify
 
 <EnrichmentTableSummaryHiResOnly />
 
-Select **Table**, and then choose one of the following provider (and model) combinations to use:
 
-- **OpenAI (GPT-4o)**. [Learn more](https://openai.com/index/hello-gpt-4o/).
-- **Anthropic (Claude 3.5 Sonnet)**. [Learn more](https://www.anthropic.com/news/claude-3-5-sonnet).
-- **Amazon Bedrock (Claude 3.5 Sonnet)**. [Learn more](https://aws.amazon.com/bedrock/claude/).
-
-Make sure after you choose the provider and model, that **Table Description** is also displayed. If **Table Description** and **Table to HTML** are both 
-displayed, be sure to select **Table Description**.
 
 ## Learn more 
 
diff --git a/ui/partitioning.mdx b/ui/partitioning.mdx
@@ -98,26 +98,23 @@ The **VLM** strategy also has great support for recognizing multilanguage charac
 Language support for **VLM** depends on the model used. The list of supported languages for a particular model is maintained by 
 that model's provider. For the list of languages that each model supports, see the following, where provided:
 
-- Anthropic
+- Anthropic: 
 
-  - Claude 3.5 Sonnet: Arabic, Bengali, Chinese (Simplified), English, French, German, Hindi, Indonesian, Italian, Japanese, Korean, 
-    Portuguese (Brazil), Spanish, Swahili, and Yoruba are mentioned. ([Source](https://docs.anthropic.com/en/docs/build-with-claude/multilingual-support))
+  - [Claude](https://docs.anthropic.com/en/docs/build-with-claude/multilingual-support)
 
 - OpenAI
 
-  - GPT-4o: Arabic, Chinese, English, French, German, Gujarati, Hindi, Italian, Japanese, Korean, Marathi, Persian, 
-    Portuguese, Russian, Spanish, Tamil, Telugu, Turkish, Urdu, and Vietnamese are mentioned. ([Source](https://openai.com/index/hello-gpt-4o/))
+  - [GPT](https://help.openai.com/en/articles/8357869-how-to-change-your-language-setting-in-chatgpt#h_513834920e)
 
 - Amazon Bedrock
 
-  - Claude 3.5 Sonnet: "English, Spanish, Japanese, and multiple other languages" ([Source](https://aws.amazon.com/bedrock/claude/))
-  - Claude 3 Opus: "English, Spanish, Japanese, and multiple other languages" ([Source](https://aws.amazon.com/bedrock/claude/))
-  - Claude 3 Haiku: "English, Spanish, Japanese, and multiple other languages" ([Source](https://aws.amazon.com/bedrock/claude/))
-  - Claude 3 Sonnet: "English, Spanish, Japanese, and multiple other languages" ([Source](https://aws.amazon.com/bedrock/claude/))
-  - Amazon Nova Pro: "200+ languages" ([Source](https://aws.amazon.com/ai/generative-ai/nova/))
-  - Amazon Nova Lite: "200+ languages" ([Source](https://aws.amazon.com/ai/generative-ai/nova/))
-  - Meta Llama 3.2 90B Instruct: "English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai" ([Source](https://aws.amazon.com/bedrock/llama/))
-  - Meta Llama 3.2 11B Instruct: "English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai" ([Source](https://aws.amazon.com/bedrock/llama/))
+  - [Claude](https://aws.amazon.com/bedrock/claude/)
+  - [Nova](https://aws.amazon.com/ai/generative-ai/nova/)
+  - [Llama](https://aws.amazon.com/bedrock/llama/)
+
+- Vertex AI
+
+  - [Gemini](https://cloud.google.com/vertex-ai/generative-ai/docs/models#expandable-1)
 
 ## Learn more
 
diff --git a/ui/summarizing.mdx b/ui/summarizing.mdx
@@ -3,11 +3,7 @@ title: Summarizing
 ---
 
 After partitioning, _summarizing_ generates text-based summaries of images and tables. 
-This summarization is done by using models offered through these providers:
-
-- [GPT-4o](https://openai.com/index/hello-gpt-4o/), provided through OpenAI.
-- [Claude 3.5 Sonnet](https://www.anthropic.com/news/claude-3-5-sonnet), provided through Anthropic. 
-- [Claude 3.5 Sonnet](https://aws.amazon.com/bedrock/claude/), provided through Amazon Bedrock.
+This summarization is done by using models offered through various model providers.
 
 Here is an example of the output of image summarization using GPT-4o. Note specifically the `text` field that is added. 
 Line breaks have been inserted here for readability. The output will not contain these line breaks. 
@@ -86,14 +82,6 @@ To summarize images or tables, in the **Task** drop-down list of an **Enrichment
 
 <EnrichmentImagesTablesHiResOnly />
 
-For image summarization, select **Image Description**, and then choose one of the following provider (and model) combinations to use:
-
-- **OpenAI (GPT-4o)**. [Learn more](https://openai.com/index/hello-gpt-4o/).
-- **Anthropic (Claude 3.5 Sonnet)**. [Learn more](https://www.anthropic.com/news/claude-3-5-sonnet).
-- **Amazon Bedrock (Claude 3.5 Sonnet)**. [Learn more](https://aws.amazon.com/bedrock/claude/).
-
-For table summarization, select **Table Description**, and then choose one of the following provider (and model) combinations to use:
+For image summarization, select **Image Description**, and then choose one of the available provider (and model) combinations that are shown.
 
-- **OpenAI (GPT-4o)**. [Learn more](https://openai.com/index/hello-gpt-4o/).
-- **Anthropic (Claude 3.5 Sonnet)**. [Learn more](https://www.anthropic.com/news/claude-3-5-sonnet).
-- **Amazon Bedrock (Claude 3.5 Sonnet)**. [Learn more](https://aws.amazon.com/bedrock/claude/).
+For table summarization, select **Table Description**, and then choose one of the available provider (and model) combinations that are shown.
diff --git a/ui/workflows.mdx b/ui/workflows.mdx
