docs: providers updates 1 (#20256)

- Proviers pages: added missed integrations; fixed format
- `mistralai` converted from notebook to .mdx format

docs/docs/integrations/platforms/anthropic.mdx

@@ -1,43 +1,44 @@
 # Anthropic
 
-All functionality related to Anthropic models.
+>[Anthropic](https://www.anthropic.com/) is an AI safety and research company, and is the creator of `Claude`.
+This page covers all integrations between `Anthropic` models and `LangChain`.
 
-[Anthropic](https://www.anthropic.com/) is an AI safety and research company, and is the creator of Claude.
-This page covers all integrations between Anthropic models and LangChain.
+## Installation and Setup
 
-## Installation
+To use `Anthropic` models, you need to install a python package:
 
-To use Anthropic models, you will need to install the `langchain-anthropic` package.
-You can do this with the following command:
-
-```
-pip install langchain-anthropic
+```bash
+pip install -U langchain-anthropic
 ```
 
-## Environment Setup
-
-To use Anthropic models, you will need to set the `ANTHROPIC_API_KEY` environment variable.
+You need to set the `ANTHROPIC_API_KEY` environment variable.
 You can get an Anthropic API key [here](https://console.anthropic.com/settings/keys)
 
-## `ChatAnthropic`
+## LLMs
 
-`ChatAnthropic` is a subclass of LangChain's `ChatModel`.
-You can import this wrapper with the following code:
+### [Legacy] AnthropicLLM
 
-```
-from langchain_anthropic import ChatAnthropic
-model = ChatAnthropic(model='claude-3-opus-20240229')
-```
+**NOTE**: `AnthropicLLM` only supports legacy `Claude 2` models. 
+To use the newest `Claude 3` models, please use `ChatAnthropic` instead.
 
-Read more in the [ChatAnthropic documentation](/docs/integrations/chat/anthropic).
-
-## [Legacy] `AnthropicLLM`
-
-`AnthropicLLM` is a subclass of LangChain's `LLM`. It is a wrapper around Anthropic's 
-text-based completion endpoints.
+See a [usage example](/docs/integrations/llms/anthropic).
 
 ```python
 from langchain_anthropic import AnthropicLLM
 
 model = AnthropicLLM(model='claude-2.1')
 ```
+
+## Chat Models
+
+### ChatAnthropic
+
+See a [usage example](/docs/integrations/chat/anthropic).
+
+```python
+from langchain_anthropic import ChatAnthropic
+
+model = ChatAnthropic(model='claude-3-opus-20240229')
+```
+
+

docs/docs/integrations/platforms/aws.mdx

@@ -268,6 +268,29 @@ See a [usage example](/docs/integrations/memory/aws_dynamodb).
 from langchain.memory import DynamoDBChatMessageHistory
 ```
 
+## Graphs
+
+### Amazon Neptune with Cypher
+
+See a [usage example](/docs/integrations/graphs/amazon_neptune_open_cypher).
+
+```python
+from langchain_community.graphs import NeptuneGraph
+from langchain_community.graphs import NeptuneAnalyticsGraph
+from langchain.chains import NeptuneOpenCypherQAChain
+```
+
+### Amazon Neptune with SPARQL
+
+See a [usage example](/docs/integrations/graphs/amazon_neptune_sparql).
+
+```python
+from langchain_community.graphs import NeptuneRdfGraph
+from langchain.chains.graph_qa.neptune_sparql import NeptuneSparqlQAChain
+```
+
+
+
 ## Callbacks
 
 ### SageMaker Tracking

docs/docs/integrations/platforms/microsoft.mdx

@@ -317,6 +317,24 @@ from langchain_community.agent_toolkits import PowerBIToolkit
 from langchain_community.utilities.powerbi import PowerBIDataset
 ```
 
+
+## Graphs
+
+### Azure Cosmos DB for Apache Gremlin
+
+We need to install a python package.
+
+```bash
+pip install gremlinpython
+```
+
+See a [usage example](/docs/integrations/graphs/azure_cosmosdb_gremlin).
+
+```python
+from langchain_community.graphs import GremlinGraph
+from langchain_community.graphs.graph_document import GraphDocument, Node, Relationship
+```
+
 ## Utilities
 
 ### Bing Search API

docs/docs/integrations/providers/ai21.mdx

@@ -19,13 +19,26 @@ pip install langchain-ai21
 
 See a [usage example](/docs/integrations/llms/ai21).
 
+### AI21 LLM
+
 ```python
-from langchain_community.llms import AI21
+from langchain_ai21 import AI21LLM
+```
+
+### AI21 Contextual Answer
+
+You can use AI21’s 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 
+
 See a [usage example](/docs/integrations/chat/ai21).
 
 ```python
@@ -34,9 +47,21 @@ from langchain_ai21 import ChatAI21
 
 ## Embedding models
 
+### 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
+```
+

docs/docs/integrations/providers/baidu.mdx

@@ -48,3 +48,11 @@ See a [usage example](/docs/integrations/vectorstores/baiducloud_vector_search).
 ```python
 from langchain_community.vectorstores import BESVectorStore
 ```
+
+### Baidu VectorDB
+
+See a [usage example](/docs/integrations/vectorstores/baiduvectordb).
+
+```python
+from langchain_community.vectorstores import BaiduVectorDB
+```

docs/docs/integrations/providers/google_serper.mdx

@@ -4,6 +4,7 @@ This page covers how to use the [Serper](https://serper.dev) Google Search API w
 It is broken into two parts: setup, and then references to the specific Google Serper wrapper.
 
 ## Setup
+
 - Go to [serper.dev](https://serper.dev) to sign up for a free account
 - Get the api key and set it as an environment variable (`SERPER_API_KEY`)
 

docs/docs/integrations/providers/mistralai.ipynb

@@ -1,78 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# MistralAI\n",
-    "\n",
-    "Mistral AI is a platform that offers hosting for their powerful open source models.\n",
-    "\n",
-    "You can access them via their  [API](https://docs.mistral.ai/api/).\n",
-    "\n",
-    "A valid [API key](https://console.mistral.ai/users/api-keys/) is needed to communicate with the API.\n",
-    "\n",
-    "You will also need the `langchain-mistralai` package:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%pip install -qU langchain-core langchain-mistralai"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "id": "y8ku6X96sebl"
-   },
-   "outputs": [],
-   "source": [
-    "from langchain_mistralai import ChatMistralAI, MistralAIEmbeddings"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "See the docs for their\n",
-    "\n",
-    "- [Chat Model](/docs/integrations/chat/mistralai)\n",
-    "- [Embeddings Model](/docs/integrations/text_embedding/mistralai)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": []
-  }
- ],
- "metadata": {
-  "colab": {
-   "provenance": []
-  },
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}

docs/docs/integrations/providers/mistralai.mdx

@@ -0,0 +1,34 @@
+# MistralAI
+
+>[Mistral AI](https://docs.mistral.ai/api/) is a platform that offers hosting for their powerful open source models.
+
+
+## Installation and Setup
+
+A valid [API key](https://console.mistral.ai/users/api-keys/) is needed to communicate with the API.
+
+You will also need the `langchain-mistralai` package:
+
+```bash
+pip install langchain-mistralai
+```
+
+## Chat models
+
+### ChatMistralAI
+
+See a [usage example](/docs/integrations/chat/mistralai).
+
+```python
+from langchain_mistralai.chat_models import ChatMistralAI
+```
+
+## Embedding models
+
+### MistralAIEmbeddings
+
+See a [usage example](/docs/integrations/text_embedding/mistralai).
+
+```python
+from langchain_mistralai import MistralAIEmbeddings
+```

docs/docs/integrations/providers/nuclia.mdx

@@ -4,21 +4,28 @@
 > and external source, providing optimized search results and generative answers. 
 > It can handle video and audio transcription, image content extraction, and document parsing.
 
->`Nuclia Understanding API` document transformer splits text into paragraphs and sentences, 
-> identifies entities, provides a summary of the text and generates embeddings for all the sentences.
 
 
 ## Installation and Setup
 
-We need to install the `nucliadb-protos` package to use the `Nuclia Understanding API`.
+We need to install the `nucliadb-protos` package to use the `Nuclia Understanding API`
+
 ```bash
 pip install nucliadb-protos
 ```
 
-To use the `Nuclia Understanding API`, we need to have a `Nuclia account`. 
+We need to have a `Nuclia account`. 
 We can create one for free at [https://nuclia.cloud](https://nuclia.cloud), 
 and then [create a NUA key](https://docs.nuclia.dev/docs/docs/using/understanding/intro).
 
+
+## Document Transformer
+
+### Nuclia
+
+>`Nuclia Understanding API` document transformer splits text into paragraphs and sentences, 
+> identifies entities, provides a summary of the text and generates embeddings for all the sentences.
+
 To use the Nuclia document transformer, we need to instantiate a `NucliaUnderstandingAPI`
 tool with `enable_ml` set to `True`:
 
@@ -28,10 +35,44 @@ from langchain_community.tools.nuclia import NucliaUnderstandingAPI
 nua = NucliaUnderstandingAPI(enable_ml=True)
 ```
 
-## Document Transformer
-
 See a [usage example](/docs/integrations/document_transformers/nuclia_transformer).
 
 ```python
 from langchain_community.document_transformers.nuclia_text_transform import NucliaTextTransformer
 ```
+
+## Document Loaders
+
+### Nuclea loader
+
+See a [usage example](/docs/integrations/document_loaders/nuclia).
+
+```python
+from langchain_community.document_loaders.nuclia import NucliaLoader
+```
+
+## Vector store
+
+### NucliaDB
+
+We need to install a python package:
+
+```bash
+pip install nuclia
+```
+
+See a [usage example](/docs/integrations/vectorstores/nucliadb).
+
+```python
+from langchain_community.vectorstores.nucliadb import NucliaDB
+```
+
+## Tools
+
+### Nuclia Understanding
+
+See a [usage example](/docs/integrations/tools/nuclia).
+
+```python
+from langchain_community.tools.nuclia import NucliaUnderstandingAPI
+```