docs: langchain-ai21 update ai21 docs (#28076)

Thank you for contributing to LangChain!

Update docs to match latest langchain-ai21 release.

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
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miri-bar 2024-12-04 02:01:36 +02:00 committed by GitHub
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@ -17,6 +17,9 @@
"source": [
"# AI21LLM\n",
"\n",
":::caution This service is deprecated.\n",
"See [this page](https://python.langchain.com/docs/integrations/chat/ai21/) for the updated ChatAI21 object. :::\n",
"\n",
"This example goes over how to use LangChain to interact with `AI21` Jurassic models. To use the Jamba model, use the [ChatAI21 object](https://python.langchain.com/docs/integrations/chat/ai21/) instead.\n",
"\n",
"[See a full list of AI21 models and tools on LangChain.](https://pypi.org/project/langchain-ai21/)\n",

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@ -15,26 +15,6 @@ This page covers how to use the `AI21` ecosystem within `LangChain`.
pip install langchain-ai21
```
## LLMs
See a [usage example](/docs/integrations/llms/ai21).
### AI21 LLM
```python
from langchain_ai21 import AI21LLM
```
### AI21 Contextual Answer
You can use AI21s contextual answers model to receive text or document,
serving as a context, and a question and return an answer based entirely on this context.
```python
from langchain_ai21 import AI21ContextualAnswers
```
## Chat models
### AI21 Chat
@ -45,23 +25,32 @@ See a [usage example](/docs/integrations/chat/ai21).
from langchain_ai21 import ChatAI21
```
## Embedding models
## Deprecated features
:::caution The following features are deprecated.
:::
### AI21 LLM
```python
from langchain_ai21 import AI21LLM
```
### AI21 Contextual Answer
```python
from langchain_ai21 import AI21ContextualAnswers
```
### AI21 Embeddings
See a [usage example](/docs/integrations/text_embedding/ai21).
```python
from langchain_ai21 import AI21Embeddings
```
## Text splitters
### AI21 Semantic Text Splitter
See a [usage example](/docs/integrations/document_transformers/ai21_semantic_text_splitter).
```python
from langchain_ai21 import AI21SemanticTextSplitter
```
```

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@ -17,6 +17,8 @@
"source": [
"# AI21Embeddings\n",
"\n",
":::caution This service is deprecated. :::\n",
"\n",
"This will help you get started with AI21 embedding models using LangChain. For detailed documentation on `AI21Embeddings` features and configuration options, please refer to the [API reference](https://python.langchain.com/api_reference/ai21/embeddings/langchain_ai21.embeddings.AI21Embeddings.html).\n",
"\n",
"## Overview\n",