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docs: providers
update 8 (#19053)
Added missed providers. Added missed integrations. Fixed format.
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All functionality related to `Microsoft Azure` and other `Microsoft` products.
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## LLMs
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### Azure ML
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See a [usage example](/docs/integrations/llms/azure_ml).
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```python
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from langchain_community.llms.azureml_endpoint import AzureMLOnlineEndpoint
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```
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### Azure OpenAI
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See a [usage example](/docs/integrations/llms/azure_openai).
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docs/docs/integrations/providers/arcee.mdx
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docs/docs/integrations/providers/arcee.mdx
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# Arcee
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>[Arcee](https://www.arcee.ai/about/about-us) enables the development and advancement
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> of what we coin as SLMs—small, specialized, secure, and scalable language models.
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> By offering a SLM Adaptation System and a seamless, secure integration,
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> `Arcee` empowers enterprises to harness the full potential of
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> domain-adapted language models, driving the transformative
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> innovation in operations.
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## Installation and Setup
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Get your `Arcee API` key.
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## LLMs
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See a [usage example](/docs/integrations/llms/arcee).
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```python
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from langchain_community.llms import Arcee
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```
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## Retrievers
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See a [usage example](/docs/integrations/retrievers/arcee).
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```python
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from langchain_community.retrievers import ArceeRetriever
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```
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docs/docs/integrations/providers/baidu.mdx
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docs/docs/integrations/providers/baidu.mdx
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# Baidu
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>[Baidu Cloud](https://cloud.baidu.com/) is a cloud service provided by `Baidu, Inc.`,
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> headquartered in Beijing. It offers a cloud storage service, client software,
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> file management, resource sharing, and Third Party Integration.
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## Installation and Setup
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Register and get the `Qianfan` `AK` and `SK` keys [here](https://cloud.baidu.com/product/wenxinworkshop).
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## LLMs
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### Baidu Qianfan
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See a [usage example](/docs/integrations/llms/baidu_qianfan_endpoint).
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```python
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from langchain_community.llms import QianfanLLMEndpoint
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```
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## Chat models
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### Qianfan Chat Endpoint
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See a [usage example](/docs/integrations/chat/baidu_qianfan_endpoint).
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```python
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from langchain_community.chat_models import QianfanChatEndpoint
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```
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## Embedding models
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### Baidu Qianfan
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See a [usage example](/docs/integrations/text_embedding/baidu_qianfan_endpoint).
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```python
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from langchain_community.embeddings import QianfanEmbeddingsEndpoint
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```
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## Vector stores
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### Baidu Cloud ElasticSearch VectorSearch
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See a [usage example](/docs/integrations/vectorstores/baiducloud_vector_search).
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```python
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from langchain_community.vectorstores import BESVectorStore
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```
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docs/docs/integrations/providers/ctranslate2.mdx
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docs/docs/integrations/providers/ctranslate2.mdx
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# CTranslate2
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>[CTranslate2](https://opennmt.net/CTranslate2/quickstart.html) is a C++ and Python library
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> for efficient inference with Transformer models.
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>
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>The project implements a custom runtime that applies many performance optimization
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> techniques such as weights quantization, layers fusion, batch reordering, etc.,
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> to accelerate and reduce the memory usage of Transformer models on CPU and GPU.
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>
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>A full list of features and supported models is included in the
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> [project’s repository](https://opennmt.net/CTranslate2/guides/transformers.html).
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> To start, please check out the official [quickstart guide](https://opennmt.net/CTranslate2/quickstart.html).
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## Installation and Setup
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Install the Python package:
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```bash
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pip install ctranslate2
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```
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## LLMs
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See a [usage example](/docs/integrations/llms/ctranslate2).
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```python
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from langchain_community.llms import CTranslate2
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```
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@ -8,9 +8,8 @@ It is broken into two parts: installation and setup, and then examples of DeepSp
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- Install the Python package with `pip install deepsparse`
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- Choose a [SparseZoo model](https://sparsezoo.neuralmagic.com/?useCase=text_generation) or export a support model to ONNX [using Optimum](https://github.com/neuralmagic/notebooks/blob/main/notebooks/opt-text-generation-deepsparse-quickstart/OPT_Text_Generation_DeepSparse_Quickstart.ipynb)
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## Wrappers
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### LLM
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## LLMs
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There exists a DeepSparse LLM wrapper, which you can access with:
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docs/docs/integrations/providers/edenai.mdx
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docs/docs/integrations/providers/edenai.mdx
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# Eden AI
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>[Eden AI](https://docs.edenai.co/docs/getting-started-with-eden-ai) user interface (UI)
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> is designed for handling the AI projects. With `Eden AI Portal`,
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> you can perform no-code AI using the best engines for the market.
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## Installation and Setup
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Accessing the Eden AI API requires an API key, which you can get by
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[creating an account](https://app.edenai.run/user/register) and
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heading [here](https://app.edenai.run/admin/account/settings).
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## LLMs
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See a [usage example](/docs/integrations/llms/edenai).
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```python
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from langchain_community.llms import EdenAI
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```
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## Chat models
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See a [usage example](/docs/integrations/chat/edenai).
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```python
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from langchain_community.chat_models.edenai import ChatEdenAI
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```
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## Embedding models
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See a [usage example](/docs/integrations/text_embedding/edenai).
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```python
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from langchain_community.embeddings.edenai import EdenAiEmbeddings
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```
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## Tools
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Eden AI provides a list of tools that grants your Agent the ability to do multiple tasks, such as:
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* speech to text
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* text to speech
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* text explicit content detection
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* image explicit content detection
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* object detection
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* OCR invoice parsing
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* OCR ID parsing
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See a [usage example](/docs/integrations/tools/edenai_tools).
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```python
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from langchain_community.tools.edenai import (
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EdenAiExplicitImageTool,
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EdenAiObjectDetectionTool,
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EdenAiParsingIDTool,
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EdenAiParsingInvoiceTool,
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EdenAiSpeechToTextTool,
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EdenAiTextModerationTool,
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EdenAiTextToSpeechTool,
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)
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```
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docs/docs/integrations/providers/elevenlabs.mdx
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docs/docs/integrations/providers/elevenlabs.mdx
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# ElevenLabs
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>[ElevenLabs](https://elevenlabs.io/about) is a voice AI research & deployment company
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> with a mission to make content universally accessible in any language & voice.
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>
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>`ElevenLabs` creates the most realistic, versatile and contextually-aware
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> AI audio, providing the ability to generate speech in hundreds of
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> new and existing voices in 29 languages.
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## Installation and Setup
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First, you need to set up an ElevenLabs account. You can follow the
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[instructions here](https://docs.elevenlabs.io/welcome/introduction).
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Install the Python package:
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```bash
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pip install elevenlabs
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```
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## Tools
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See a [usage example](/docs/integrations/tools/eleven_labs_tts).
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```python
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from langchain_community.tools import ElevenLabsText2SpeechTool
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```
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docs/docs/integrations/providers/pygmalionai.mdx
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# PygmalionAI
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>[PygmalionAI](https://pygmalion.chat/) is a company supporting the
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> open-source models by serving the inference endpoint
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> for the [Aphrodite Engine](https://github.com/PygmalionAI/aphrodite-engine).
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## Installation and Setup
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```bash
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pip install aphrodite-engine
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```
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## LLMs
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See a [usage example](/docs/integrations/llms/aphrodite).
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```python
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from langchain_community.llms import Aphrodite
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```
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