Merge branch 'main' into DDOC-1163-embed-hubs

content/guides/box-ai/ai-agents/overrides-tutorial.md

@@ -126,11 +126,11 @@ The set of parameters available for `ask`, `text_gen`, `extract`, `extract_struc
 
 ### LLM endpoint params
 
-The `llm_endpoint_params` configuration options differ depending on the overall AI model being [Google][google-params] or [OpenAI][openai-params] based.
+The `llm_endpoint_params` configuration options differ depending on the overall AI model being [Google][google-params], [OpenAI][openai-params] or [AWS][aws-params] based.
 
 For example, both `llm_endpoint_params` objects accept a `temperature` parameter, but the outcome differs depending on the model.
 
-For Google models, the [`temperature`][google-temp] is used for sampling during response generation, which occurs when `top-P` and `top-K` are applied. Temperature controls the degree of randomness in the token selection.
+For Google and AWS models, the [`temperature`][google-temp] is used for sampling during response generation, which occurs when `top-P` and `top-K` are applied. Temperature controls the degree of randomness in the token selection.
 
 For OpenAI models, [`temperature`][openai-temp] is the sampling temperature with values between 0 and 2. Higher values like 0.8 make the output more random, while lower values like 0.2 make it more focused and deterministic. When introducing your own configuration, use `temperature` or or `top_p` but not both.
 
@@ -353,4 +353,5 @@ Using this model results in a response listing more metadata entries:
 [openai-tokens]: https://help.openai.com/en/articles/4936856-what-are-tokens-and-how-to-count-them
 [agent]: e://get_ai_agent_default
 [google-temp]: https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters
-[openai-temp]: https://community.openai.com/t/temperature-top-p-and-top-k-for-chatbot-responses/295542
+[openai-temp]: https://community.openai.com/t/temperature-top-p-and-top-k-for-chatbot-responses/295542
+[aws-params]: r://ai-llm-endpoint-params-aws

content/guides/box-ai/supported-models.md

@@ -19,13 +19,11 @@ Make sure you use **two underscores** after the provider name.
 
 <Message type='notice'>
 The list may change depending on the model availability.
-**Preview** means you can use the model, but the access to all its features
-may be limited.
+Models offered in **Preview** mode have not been fully performance-tested at scale and are made available on an as-is basis. You may experience variability in model/output quality, availability, and accuracy
 </Message>
 
 | Provider        | Family |Availability| API Name                                | External documentation                                                  | Capability | 
 | --------------- | ------ |-----| --------------------------------------- | ----------------------------------------------------------------------- | ---------- |
-| Microsoft Azure | GPT    |available| `azure__openai__gpt_3_5_turbo_16k`      | [Azure OpenAI GPT-3.5 model documentation][azure-ai-model-gpt35]              | Chat       | 
 | Microsoft Azure | GPT    |available| `azure__openai__gpt_4o_mini`      | [Azure OpenAI GPT-4o-mini model documentation][azure-ai-model-gpt40]              | Chat       | 
 | Microsoft Azure | GPT    |available| `azure__openai__text_embedding_ada_002` | [Azure OpenAI embeddings models documentation][azure-ai-embeddings]     | Embeddings | 
 | GCP Vertex      | Gecko  | available |`google__textembedding_gecko`           | [Google Vertex AI embeddings models documentation][vertex-ai-model]     | Embeddings | 
@@ -36,12 +34,14 @@ may be limited.
 | GCP Vertex      | PaLM   | available |`google__text_unicorn`                  | [Google PaLM 2 for Text model documentation][vertex-text-models]        | Chat       |
 | GCP Vertex      | PaLM   | available |`google__text_bison`                    | [Google PaLM 2 for Text model documentation][vertex-text-models]        | Chat       |
 | GCP Vertex      | PaLM   |available| `google__text_bison_32k`                | [Google PaLM 2 for Text model documentation][vertex-text-models]        | Chat       |
+| AWS          | Claude    |preview | `aws__claude_3_haiku`        | [Amazon Claude model documentation][aws-claude]       | Chat | 
+| AWS          | Claude    |preview | `aws__claude_3_sonnet`        | [Amazon Claude model documentation][aws-claude]       | Chat |
+| AWS          | Claude    |preview | `aws__claude_3_5_sonnet`        | [Amazon Claude model documentation][aws-claude]       | Chat | 
+| AWS          | Titan    |preview | `aws__titan_text_lite`        | [Amazon Titan model documentation][aws-titan]       | Chat | 
 
 [ask]: e://post_ai_ask
 [text-gen]: e://post_ai_text_gen
 [agent]: e://get_ai_agent_default
-[openai-gpt-3-5-model]: https://platform.openai.com/docs/models/gpt-3-5-turbo
-[azure-ai-model-gpt35]: https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models#gpt-35
 [azure-ai-model-gpt40]: https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models#gpt-4o-and-gpt-4-turbo
 [vertex-ai-model]: https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#models
 [vertex-ai-gemini-models]: https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#gemini-models
@@ -50,3 +50,5 @@ may be limited.
 [azure-ai-embeddings]: https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models#embeddings
 [openai-embeddings]: https://platform.openai.com/docs/models/embeddings
 [ai-model]: e://get-ai-agent-default#param-model
+[aws-claude]: https://aws.amazon.com/bedrock/claude/
+[aws-titan]: https://aws.amazon.com/bedrock/titan/

content/guides/embed/ui-elements/preview.md

@@ -597,10 +597,9 @@ more, see [Dedicated Scopes for Box UI Elements][scopes].
 [buie]: https://github.com/box/box-ui-elements/releases/tag/v16.0.0
 [annotationsguide]: g://embed/ui-elements/annotations.md
 [previewlib]: https://github.com/box/box-content-preview
-[ainpm]: https://www.npmjs.com/package/box-ui-elements/v/19.0.0-beta.34
 [expiredembed]: r://file--full/#param-expiring_embed_link
 [token]: g://authentication/tokens/developer-tokens
-[aipackage]: https://github.com/box/box-ui-elements/releases/tag/v20.0.0-beta.17
+[aipackage]: https://www.npmjs.com/package/box-ui-elements/v/22.0.0
 [installation]: g://embed/ui-elements/installation
 [blueprint-web]: https://www.npmjs.com/package/@box/blueprint-web
 [box-ai-content-answers]: https://www.npmjs.com/package/@box/box-ai-content-answers

content/pages/ai-dev-zone/index.md

@@ -100,6 +100,12 @@ view sample code, explore Box AI use cases, and more!
       href="https://python.langchain.com/v0.2/docs/integrations/providers/box/">
         Include Box content in your LLM workflows with Box loader for LangChain.
 
+        <strong style="background-color: #e8e8e8">New</strong>
+    </Tile>
+    <Tile type="box-brown" title="Pinecone"
+      href="https://medium.com/box-developer-blog/demo-box-pinecone-f03783c412bb">
+        Connect Box and Pinecone to customize vector embeddings and get more relevant answers from LLM.
+
         <strong style="background-color: #e8e8e8">New</strong>
     </Tile>
   </TileGrid>
@@ -147,4 +153,4 @@ view sample code, explore Box AI use cases, and more!
   <More secondary="true" to='https://www.youtube.com/watch?v=amhOj0YRVRQ&list=PLCSEWOlbcUyI2ta24oRr75_4igvMzKJ9q' center>
     View all videos
   </More>
-</Centered>
+</Centered>