Add pointers from LLM pages to chat model pages (#5719)

Author: jacoblee93

docs/core_docs/docs/integrations/llms/bedrock.mdx

@@ -1,5 +1,11 @@
 # Bedrock
 
+:::caution
+You are currently on a page documenting the use of Amazon Bedrock models as [text completion models](/docs/concepts/#llms). Many popular models available on Bedrock are [chat completion models](/docs/concepts/#chat-models).
+
+You may be looking for [this page instead](/docs/integrations/chat/bedrock/).
+:::
+
 > [Amazon Bedrock](https://aws.amazon.com/bedrock/) is a fully managed service that makes Foundation Models (FMs)
 > from leading AI startups and Amazon available via an API. You can choose from a wide range of FMs to find the model that is best suited for your use case.
 

docs/core_docs/docs/integrations/llms/cohere.mdx

@@ -1,5 +1,11 @@
 # Cohere
 
+:::caution
+You are currently on a page documenting the use of Cohere models as [text completion models](/docs/concepts/#llms). Many popular models available on Cohere are [chat completion models](/docs/concepts/#chat-models).
+
+You may be looking for [this page instead](/docs/integrations/chat/cohere/).
+:::
+
 import CodeBlock from "@theme/CodeBlock";
 
 LangChain.js supports Cohere LLMs. Here's an example:

docs/core_docs/docs/integrations/llms/fireworks.mdx

@@ -6,6 +6,12 @@ import CodeBlock from "@theme/CodeBlock";
 
 # Fireworks
 
+:::caution
+You are currently on a page documenting the use of Fireworks models as [text completion models](/docs/concepts/#llms). Many popular models available on Fireworks are [chat completion models](/docs/concepts/#chat-models).
+
+You may be looking for [this page instead](/docs/integrations/chat/fireworks/).
+:::
+
 import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";
 
 <IntegrationInstallTooltip></IntegrationInstallTooltip>

docs/core_docs/docs/integrations/llms/google_vertex_ai.mdx

@@ -1,6 +1,12 @@
 # Google Vertex AI
 
-Langchain.js supports two different authentication methods based on whether
+:::caution
+You are currently on a page documenting the use of Google Vertex models as [text completion models](/docs/concepts/#llms). Many popular models available on Google Vertex are [chat completion models](/docs/concepts/#chat-models).
+
+You may be looking for [this page instead](/docs/integrations/chat/google_vertex_ai/).
+:::
+
+LangChain.js supports two different authentication methods based on whether
 you're running in a Node.js environment or a web environment.
 
 ## Setup

docs/core_docs/docs/integrations/llms/ollama.mdx

@@ -1,6 +1,12 @@
 # Ollama
 
-[Ollama](https://ollama.ai/) allows you to run open-source large language models, such as Llama 2, locally.
+:::caution
+You are currently on a page documenting the use of Ollama models as [text completion models](/docs/concepts/#llms). Many popular models available on Ollama are [chat completion models](/docs/concepts/#chat-models).
+
+You may be looking for [this page instead](/docs/integrations/chat/ollama/).
+:::
+
+[Ollama](https://ollama.ai/) allows you to run open-source large language models, such as Llama 3, locally.
 
 Ollama bundles model weights, configuration, and data into a single package, defined by a Modelfile. It optimizes setup and configuration details, including GPU usage.
 

docs/core_docs/docs/integrations/llms/togetherai.mdx

@@ -2,6 +2,12 @@ import CodeBlock from "@theme/CodeBlock";
 
 # Together AI
 
+:::caution
+You are currently on a page documenting the use of Together AI models as [text completion models](/docs/concepts/#llms). Many popular models available on Together AI are [chat completion models](/docs/concepts/#chat-models).
+
+You may be looking for [this page instead](/docs/integrations/chat/togetherai/).
+:::
+
 Here's an example of calling a Together AI model as an LLM:
 
 import TogetherAI from "@examples/models/llm/togetherai.ts";

docs/core_docs/docs/integrations/platforms/aws.mdx

@@ -4,7 +4,17 @@ keywords: [bedrock]
 
 # AWS
 
-All functionality related to [Amazon AWS](https://aws.amazon.com/) platform
+All functionality related to the [Amazon AWS](https://aws.amazon.com/) platform.
+
+## Chat Models
+
+### Bedrock
+
+See a [usage example](/docs/integrations/chat/bedrock).
+
+```typescript
+import { BedrockChat } from "@langchain/community/chat_models/bedrock";
+```
 
 ## LLMs
 
@@ -13,7 +23,7 @@ All functionality related to [Amazon AWS](https://aws.amazon.com/) platform
 See a [usage example](/docs/integrations/llms/bedrock).
 
 ```typescript
-import { Bedrock } from "langchain/llms/bedrock";
+import { Bedrock } from "@langchain/community/llms/bedrock";
 ```
 
 ### SageMaker Endpoint
@@ -28,7 +38,7 @@ See a [usage example](/docs/integrations/llms/aws_sagemaker).
 import {
   SagemakerEndpoint,
   SageMakerLLMContentHandler,
-} from "langchain/llms/sagemaker_endpoint";
+} from "@langchain/community/llms/sagemaker_endpoint";
 ```
 
 ## Text Embedding Models
@@ -38,7 +48,7 @@ import {
 See a [usage example](/docs/integrations/text_embedding/bedrock).
 
 ```typescript
-import { BedrockEmbeddings } from "langchain/embeddings/bedrock";
+import { BedrockEmbeddings } from "@langchain/community/embeddings/bedrock";
 ```
 
 ## Document loaders
@@ -55,7 +65,7 @@ npm install @aws-sdk/client-s3
 ```
 
 ```typescript
-import { S3Loader } from "langchain/document_loaders/web/s3";
+import { S3Loader } from "@langchain/community/document_loaders/web/s3";
 ```
 
 ## Memory