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All functionality related to Microsoft


Azure OpenAI

Microsoft Azure, often referred to as Azure is a cloud computing platform run by Microsoft, which offers access, management, and development of applications and services through global data centers. It provides a range of capabilities, including software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). Microsoft Azure supports many programming languages, tools, and frameworks, including Microsoft-specific and third-party software and systems.

Azure OpenAI is an Azure service with powerful language models from OpenAI including the GPT-3, Codex and Embeddings model series for content generation, summarization, semantic search, and natural language to code translation.

pip install openai tiktoken

Set the environment variables to get access to the Azure OpenAI service.

import os

os.environ["OPENAI_API_TYPE"] = "azure"
os.environ["OPENAI_API_BASE"] = "https://<"
os.environ["OPENAI_API_KEY"] = "your AzureOpenAI key"
os.environ["OPENAI_API_VERSION"] = "2023-05-15"

See a usage example.

from langchain.llms import AzureOpenAI

API Reference:

Text Embedding Models

Azure OpenAI

See a usage example

from langchain.embeddings import OpenAIEmbeddings

API Reference:

Chat Models

Azure OpenAI

See a usage example

from langchain.chat_models import AzureChatOpenAI

API Reference:

Document loaders

Azure Blob Storage

Azure Blob Storage is Microsoft's object storage solution for the cloud. Blob Storage is optimized for storing massive amounts of unstructured data. Unstructured data is data that doesn't adhere to a particular data model or definition, such as text or binary data.

Azure Files offers fully managed file shares in the cloud that are accessible via the industry standard Server Message Block (SMB) protocol, Network File System (NFS) protocol, and Azure Files REST API. Azure Files are based on the Azure Blob Storage.

Azure Blob Storage is designed for:

  • Serving images or documents directly to a browser.
  • Storing files for distributed access.
  • Streaming video and audio.
  • Writing to log files.
  • Storing data for backup and restore, disaster recovery, and archiving.
  • Storing data for analysis by an on-premises or Azure-hosted service.
pip install azure-storage-blob

See a usage example for the Azure Blob Storage.

from langchain.document_loaders import AzureBlobStorageContainerLoader

See a usage example for the Azure Files.

from langchain.document_loaders import AzureBlobStorageFileLoader

Microsoft OneDrive

Microsoft OneDrive (formerly SkyDrive) is a file-hosting service operated by Microsoft.

First, you need to install a python package.

pip install o365

See a usage example.

from langchain.document_loaders import OneDriveLoader

API Reference:

Microsoft Word

Microsoft Word is a word processor developed by Microsoft.

See a usage example.

from langchain.document_loaders import UnstructuredWordDocumentLoader


Azure Cognitive Search (formerly known as Azure Search) is a cloud search service that gives developers infrastructure, APIs, and tools for building a rich search experience over private, heterogeneous content in web, mobile, and enterprise applications.

Search is foundational to any app that surfaces text to users, where common scenarios include catalog or document search, online retail apps, or data exploration over proprietary content. When you create a search service, you'll work with the following capabilities:

  • A search engine for full text search over a search index containing user-owned content
  • Rich indexing, with lexical analysis and optional AI enrichment for content extraction and transformation
  • Rich query syntax for text search, fuzzy search, autocomplete, geo-search and more
  • Programmability through REST APIs and client libraries in Azure SDKs
  • Azure integration at the data layer, machine learning layer, and AI (Cognitive Services)

See set up instructions.

See a usage example.

from langchain.retrievers import AzureCognitiveSearchRetriever