llama-index-embeddings-openai
llama-index embeddings openai integration
Decision gist · record as of 2026-08-14
Yes, if you are building with llama-index-core and want to use OpenAI embeddings. Low install friction, active maintenance, MIT license, and no known vulnerabilities. Requires an OpenAI API account and key. Straightforward choice for LlamaIndex users committed to the OpenAI embedding ecosystem.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later (supports current versions, <4.0).
- OpenAI API key must be configured in environment.
- Low install friction with a pure Python wheel.
License · maintenance · safety
MIT (permissive) — MIT license permits use, modification, and distribution with minimal restrictions, making it suitable for both open-source and commercial projects.
last release 2026-03-12 (155 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 8,211,894 downloads/mo, #1,651 on PyPI
Alternatives
Verify before relying
pip install llama-index-embeddings-openai
from llama_index.embeddings.openai import OpenAIEmbedding
embed_model = OpenAIEmbedding()
vector = embed_model.get_text_embedding("sample text")- Whether OpenAI API credentials or account are required to use this integration
- Specific OpenAI embedding models supported by this version
- Performance characteristics or rate-limit handling for large-scale embedding operations
- Whether this package is designed for retrieval-augmented generation or semantic search workflows
What it is and what it does
This package provides a bridge between llama-index-core and openai, allowing you to use OpenAI's text embedding models within LlamaIndex workflows. It wraps OpenAI's embedding functionality into the standard embedding interface, so you can integrate OpenAI embeddings into applications built on LlamaIndex.
The package is a lightweight integration layer that depends on llama-index-core for the framework and openai for API access. It's designed for developers building applications that need vector representations of text using OpenAI's embedding models.
Use it for
- Integrating OpenAI embeddings into existing llama-index-core applications without rewriting embedding logic
- Using OpenAI embeddings as the vector representation backend in LlamaIndex workflows
- Swapping embedding providers within LlamaIndex applications by changing configuration
- Building applications that require text-to-vector conversion via OpenAI's API
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building with llama-index-core and want to use OpenAI embeddings.
Low install friction, active maintenance, MIT license, and no known vulnerabilities. Requires an OpenAI API account and key. Straightforward choice for LlamaIndex users committed to the OpenAI embedding ecosystem.
Install
llama-index-embeddings-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 and openai, both established packages in the ecosystem.
Requires Python 3.10 or later (supports current versions, <4.0). OpenAI API key must be configured in environment.
License in practice
MIT license permits use, modification, and distribution with minimal restrictions, making it suitable for both open-source and commercial projects.
Quickstart
pip install llama-index-embeddings-openai
from llama_index.embeddings.openai import OpenAIEmbedding
embed_model = OpenAIEmbedding()
vector = embed_model.get_text_embedding("sample text")Verify before relying
- Whether OpenAI API credentials or account are required to use this integration
- Specific OpenAI embedding models supported by this version
- Performance characteristics or rate-limit handling for large-scale embedding operations
- Whether this package is designed for retrieval-augmented generation or semantic search workflows
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <4.0,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesllama-index-coreopenai |
| Maintenance | Actively maintained 155 days since the last release |
| First released | |
| Downloads | 8,211,894 / month, #1,651 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: llama_index_embeddings_openai-0.6.0-py3-none-any.whl
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See also llama-index-embeddings-azure-openai · llama-index-embeddings-huggingface · llama-index-embeddings-langchain · llama-index-utils-workflow · llama-index-retrievers-bm25 · llama-index-agent-openai · llama-index-program-openai · llama-index-embeddings-ollama · llama-index-multi-modal-llms-openai · llama-index-embeddings-vertex