> ## Documentation Index
> Fetch the complete documentation index at: https://phaseo.app/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# LlamaIndex

> Use Phaseo in LlamaIndex RAG workflows.

Use this guide when your LlamaIndex app should route generation or embeddings through Phaseo.

## Install

```bash theme={null}
pip install llama-index llama-index-llms-openai-like llama-index-embeddings-openai-like
```

## Configure an OpenAI-compatible LLM

```python theme={null}
import os
from llama_index.llms.openai_like import OpenAILike

llm = OpenAILike(
    model="openai/gpt-5-nano",
    api_key=os.environ["PHASEO_API_KEY"],
    api_base="https://api.phaseo.ai/v1",
    is_chat_model=True,
)

response = llm.complete("Write one sentence about retrieval quality.")
print(response)
```

## Use in an index

```python theme={null}
from llama_index.core import Settings

Settings.llm = llm
```

Then build or query your index as usual.

## Notes

* Use `OpenAILike` for third-party OpenAI-compatible APIs.
* Keep generation and embedding model ids explicit. Do not assume LlamaIndex defaults point at Phaseo.
* If you use Phaseo embeddings, set the embedding model with A Phaseo model id and the same base URL.

## Related

* [Embeddings](../../api-reference/endpoint/embeddings.mdx)
* [Models](../../api-reference/endpoint/models.mdx)
* [OpenAI SDK](./openai-sdk.mdx)