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The pages describing this code lived in lancedb/docs, a repository with ten stars that neither contributing guide mentioned. A user who hit a wrong page while reading the source had to find a separate, near-invisible repository to fix it. These 102 pages now sit beside the code, and a documentation fix is a pull request in the repository the reader already had open. `docs/web` is a complete Mintlify site: `cd docs/web && mint dev` serves it with no other checkout. Enterprise pages stay private and are merged in when the published site is assembled, so links into them do not resolve here — every open-source page does. `docs/web-tests` holds the tests the code examples are extracted from. They ran against a published wheel before; here they can run against this repository's own SDK, so an example that stops compiling fails the pull request that broke it rather than being noticed later. Both directories sit beside `docs/src` and are invisible to it: mkdocs reads `docs_dir: src`, so the SDK reference builds and deploys exactly as before.
20 lines
800 B
Plaintext
20 lines
800 B
Plaintext
---
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title: OpenAI
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sidebarTitle: OpenAI
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---
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import { PyEmbeddingOpenaiBasic } from '/snippets/integrations.mdx';
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LanceDB registers the OpenAI embeddings function in the registry by default, as `openai`. Below are the parameters that you can customize when creating the instances:
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| Parameter | Type | Default Value | Description |
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| `name` | `str` | `"text-embedding-ada-002"` | The name of the model. |
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| `dim` | `int` | Model default | For OpenAI's newer text-embedding-3 model, we can specify a dimensionality that is smaller than the 1536 size. This feature supports it |
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| `use_azure` | bool | `False` | Set true to use Azure OpenAI SDK |
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<CodeGroup>
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<CodeBlock filename="Python" language="Python" icon="python">
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{PyEmbeddingOpenaiBasic}
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</CodeBlock>
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</CodeGroup> |