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extension(llm): use proper provider names #589

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Jul 14, 2025
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extension(llm): use proper provider names #589

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update docs
tgahunia05 Jul 14, 2025
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tgahunia05 Jul 14, 2025
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16 changes: 8 additions & 8 deletions src/content/docs/extensions/llm.mdx
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Original file line number Diff line number Diff line change
Expand Up @@ -76,8 +76,8 @@ the arguments associated with each provider:
| `amazon-bedrock` | - | Required | - |
| `google-vertex` | Optional | Required | - |
| `google-gemini` | - | - | - |
| `open-ai` | Optional | - | - |
| `voyage-ai` | Optional | - | - |
| `openai` | Optional | - | - |
| `voyageai` | Optional | - | - |
| `ollama` | - | - | Optional |

:::note[Note]
Expand All @@ -93,8 +93,8 @@ To allow API calls to the providers, you must set the appropriate environment va
| `amazon-bedrock` | `AWS_ACCESS_KEY`, `AWS_SECRET_ACCESS_KEY` |
| `google-vertex` | `GOOGLE_CLOUD_PROJECT_ID`, `GOOGLE_VERTEX_ACCESS_KEY` |
| `google-gemini` | `GOOGLE_GEMINI_API_KEY` |
| `open-ai` | `OPENAI_API_KEY` |
| `voyage-ai` | `VOYAGE_API_KEY` |
| `openai` | `OPENAI_API_KEY` |
| `voyageai` | `VOYAGE_API_KEY` |
| `ollama` | `OLLAMA_URL` |

:::note[Note]
Expand All @@ -120,13 +120,13 @@ RETURN CREATE_EMBEDDING("Hello world", "ollama", "nomic-embed-text");
// Optional ENDPOINT
RETURN CREATE_EMBEDDING("Hello world", "ollama", "nomic-embed-text", "http://endpoint.example.com:8000");

RETURN CREATE_EMBEDDING( "Hello world", "open-ai", "text-embedding-3-small");
RETURN CREATE_EMBEDDING( "Hello world", "openai", "text-embedding-3-small");
// Optional DIMENSIONS
RETURN CREATE_EMBEDDING( "Hello world", "open-ai", "text-embedding-3-small", 512);
RETURN CREATE_EMBEDDING( "Hello world", "openai", "text-embedding-3-small", 512);

RETURN CREATE_EMBEDDING( "Hello world", "voyage-ai", "voyage-3-large");
RETURN CREATE_EMBEDDING( "Hello world", "voyageai", "voyage-3-large");
// Optional DIMENSIONS
RETURN CREATE_EMBEDDING( "Hello world", "voyage-ai", "voyage-3-large", 512);
RETURN CREATE_EMBEDDING( "Hello world", "voyageai", "voyage-3-large", 512);
```

### Storing embeddings in a vector index
Expand Down