Merge branch 'main' into brace/more-lowest-latest-deps-ci

Author: bracesproul

docs/core_docs/docs/integrations/llms/azure.mdx

@@ -2,6 +2,12 @@ import CodeBlock from "@theme/CodeBlock";
 
 # Azure OpenAI
 
+:::caution
+You are currently on a page documenting the use of Azure OpenAI [text completion models](/docs/concepts/#llms). The latest and most popular Azure OpenAI models are [chat completion models](/docs/concepts/#chat-models).
+
+Unless you are specifically using `gpt-3.5-turbo-instruct`, you are probably looking for [this page instead](/docs/integrations/chat/azure/).
+:::
+
 [Azure OpenAI](https://azure.microsoft.com/products/ai-services/openai-service/) is a cloud service to help you quickly develop generative AI experiences with a diverse set of prebuilt and curated models from OpenAI, Meta and beyond.
 
 LangChain.js supports integration with [Azure OpenAI](https://azure.microsoft.com/products/ai-services/openai-service/) using the new Azure integration in the [OpenAI SDK](https://github.com/openai/openai-node).

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/openai.mdx

@@ -1,5 +1,11 @@
 # OpenAI
 
+:::caution
+You are currently on a page documenting the use of OpenAI [text completion models](/docs/concepts/#llms). The latest and most popular OpenAI models are [chat completion models](/docs/concepts/#chat-models).
+
+Unless you are specifically using `gpt-3.5-turbo-instruct`, you are probably looking for [this page instead](/docs/integrations/chat/openai/).
+:::
+
 Here's how you can initialize an `OpenAI` LLM instance:
 
 import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";

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

docs/core_docs/docs/integrations/platforms/index.mdx

@@ -12,7 +12,6 @@ LangChain integrates with many providers.
 These providers have standalone `@langchain/{provider}` packages for improved versioning, dependency management and testing.
 
 - [Anthropic](https://www.npmjs.com/package/@langchain/anthropic)
-- [Azure OpenAI](https://www.npmjs.com/package/@langchain/azure-openai)
 - [Cloudflare](https://www.npmjs.com/package/@langchain/cloudflare)
 - [Cohere](https://www.npmjs.com/package/@langchain/cohere)
 - [Exa](https://www.npmjs.com/package/@langchain/exa)

docs/core_docs/docs/integrations/platforms/microsoft.mdx

@@ -8,6 +8,18 @@ import CodeBlock from "@theme/CodeBlock";
 
 All functionality related to `Microsoft Azure` and other `Microsoft` products.
 
+## Chat Models
+
+### Azure OpenAI
+
+See a [usage example](/docs/integrations/chat/azure)
+
+import AzureChatOpenAI from "@examples/models/chat/integration_azure_openai.ts";
+
+<UnifiedModelParamsTooltip></UnifiedModelParamsTooltip>
+
+<CodeBlock language="typescript">{AzureChatOpenAI}</CodeBlock>
+
 ## LLM
 
 ### Azure OpenAI
@@ -70,18 +82,6 @@ import AzureOpenAIEmbeddings from "@examples/models/embeddings/azure_openai.ts";
 
 <CodeBlock language="typescript">{AzureOpenAIEmbeddings}</CodeBlock>
 
-## Chat Models
-
-### Azure OpenAI
-
-See a [usage example](/docs/integrations/chat/azure)
-
-import AzureChatOpenAI from "@examples/models/chat/integration_azure_openai.ts";
-
-<UnifiedModelParamsTooltip></UnifiedModelParamsTooltip>
-
-<CodeBlock language="typescript">{AzureChatOpenAI}</CodeBlock>
-
 ## Vector stores
 
 ### Azure AI Search

docs/core_docs/docs/integrations/platforms/openai.mdx

@@ -20,6 +20,14 @@ All functionality related to OpenAI
 
 - Get an OpenAI api key and set it as an environment variable (`OPENAI_API_KEY`)
 
+## Chat model
+
+See a [usage example](/docs/integrations/chat/openai).
+
+```typescript
+import { ChatOpenAI } from "@langchain/openai";
+```
+
 ## LLM
 
 See a [usage example](/docs/integrations/llms/openai).
@@ -36,14 +44,6 @@ npm install @langchain/openai
 import { OpenAI } from "@langchain/openai";
 ```
 
-## Chat model
-
-See a [usage example](/docs/integrations/chat/openai).
-
-```typescript
-import { ChatOpenAI } from "@langchain/openai";
-```
-
 ## Text Embedding Model
 
 See a [usage example](/docs/integrations/text_embedding/openai)

docs/core_docs/docs/tutorials/rag.ipynb

@@ -422,9 +422,9 @@
       "source": [
         "### Go deeper\n",
         "\n",
-        "`TextSplitter`: Object that splits a list of `Document`s into smaller chunks. Subclass of `DocumentTransformers`. - Explore `Context-aware splitters`, which keep the location (“context”) of each split in the original `Document`: - [Markdown files](/docs/how_to/code_splitter/#markdown) - [Code](/docs/how_to/code_splitter/) (15+ langs) - [Interface](https://v02.api.js.langchain.com/classes/langchain_text_splitter.TextSplitter.html): API reference for the base interface.\n",
+        "`TextSplitter`: Object that splits a list of `Document`s into smaller chunks. Subclass of `DocumentTransformers`. - Explore `Context-aware splitters`, which keep the location (“context”) of each split in the original `Document`: - [Markdown files](/docs/how_to/code_splitter/#markdown) - [Code](/docs/how_to/code_splitter/) (15+ langs) - [Interface](https://v02.api.js.langchain.com/classes/langchain_textsplitters.TextSplitter.html): API reference for the base interface.\n",
         "\n",
-        "`DocumentTransformer`: Object that performs a transformation on a list of `Document`s. - Docs: Detailed documentation on how to use `DocumentTransformer`s - [Integrations](/docs/integrations/document_transformers) - [Interface](https://v02.api.js.langchain.com/modules/langchain_schema_document.html#BaseDocumentTransformer): API reference for the base interface."
+        "`DocumentTransformer`: Object that performs a transformation on a list of `Document`s. - Docs: Detailed documentation on how to use `DocumentTransformer`s - [Integrations](/docs/integrations/document_transformers) - [Interface](https://v02.api.js.langchain.com/classes/langchain_core_documents.BaseDocumentTransformer.html): API reference for the base interface."
       ]
     },
     {