llama-index-embeddings-azure-openai
llama-index embeddings azure openai integration
Decision gist · record as of 2026-08-14
Yes, if you are already using LlamaIndex and need to use Azure OpenAI for embeddings. The package has low install friction, active maintenance, MIT licensing, no known vulnerabilities, and fills a clear role in the LlamaIndex ecosystem. Not necessary if you are using public OpenAI embeddings or a different embedding provider.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later and valid Azure OpenAI credentials (API key, endpoint, deployment name).
- Low install friction with a pure-Python wheel.
- Actively maintained as of March 2026.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions, making it suitable for most production deployments.
last release 2026-03-26 (141 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 508,649 downloads/mo, #6,277 on PyPI
Alternatives
Verify before relying
pip install llama-index-embeddings-azure-openai
from llama_index.embeddings.azure_openai import AzureOpenAIEmbedding
embedding = AzureOpenAIEmbedding()
vectors = embedding.get_text_embedding("sample text")- Whether this package requires additional Azure SDK dependencies beyond what llama-index-llms-azure-openai already provides.
- Support for specific Azure OpenAI embedding model versions or deprecation timelines.
What it is and what it does
This package bridges Azure OpenAI's embedding API with LlamaIndex, a framework for building retrieval-augmented generation (RAG) and semantic search applications. It translates text into dense vector embeddings using Azure-hosted OpenAI models, enabling similarity-based document retrieval and semantic matching within LlamaIndex pipelines.
The integration handles authentication, API communication, and embedding format conversion so that developers can use Azure OpenAI embeddings as a drop-in component in LlamaIndex workflows. It sits alongside llama-index-embeddings-openai and llama-index-llms-azure-openai within the broader LlamaIndex ecosystem, allowing teams already committed to Azure to avoid vendor lock-in to OpenAI's public API.
Use it for
- Build semantic search over document collections using Azure OpenAI embeddings within a LlamaIndex retrieval pipeline.
- Implement retrieval-augmented generation (RAG) workflows that fetch relevant context from Azure-indexed documents before prompting an LLM.
- Migrate existing LlamaIndex applications from public OpenAI to Azure-hosted models for compliance or cost reasons.
- Combine Azure OpenAI embeddings with LlamaIndex's vector store integrations to power enterprise knowledge bases.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are already using LlamaIndex and need to use Azure OpenAI for embeddings.
The package has low install friction, active maintenance, MIT licensing, no known vulnerabilities, and fills a clear role in the LlamaIndex ecosystem. Not necessary if you are using public OpenAI embeddings or a different embedding provider.
Install
llama-index-embeddings-azure-openai on PyPI
Before you install
Low install friction with a pure-Python wheel. Actively maintained as of March 2026. Depends on llama-index-core, llama-index-embeddings-openai, and llama-index-llms-azure-openai, all within the same ecosystem.
Requires Python 3.10 or later and valid Azure OpenAI credentials (API key, endpoint, deployment name).
License in practice
MIT license permits commercial and private use with minimal restrictions, making it suitable for most production deployments.
Quickstart
pip install llama-index-embeddings-azure-openai
from llama_index.embeddings.azure_openai import AzureOpenAIEmbedding
embedding = AzureOpenAIEmbedding()
vectors = embedding.get_text_embedding("sample text")Verify before relying
- Whether this package requires additional Azure SDK dependencies beyond what llama-index-llms-azure-openai already provides.
- Support for specific Azure OpenAI embedding model versions or deprecation timelines.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <4.0,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesllama-index-corellama-index-embeddings-openaillama-index-llms-azure-openai |
| Maintenance | Actively maintained 141 days since the last release |
| First released | |
| Downloads | 508,649 / month, #6,277 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: llama_index_embeddings_azure_openai-0.5.2-py3-none-any.whl
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See also llama-index-embeddings-openai · llama-index-vector-stores-azureaisearch · llama-index-embeddings-langchain · llama-index-vector-stores-qdrant · llama-index-embeddings-huggingface · llama-index-program-openai · llama-index-vector-stores-redis · llama-index-agent-openai · llama-index-embeddings-vertex · llama-index-vector-stores-chroma