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Add batch_size in config for VectorDB (#1448)

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Dev Khant
2024-06-28 03:15:58 +05:30
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parent edaeb78ccf
commit 0a78198bb5
10 changed files with 28 additions and 34 deletions
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docs/api-reference/advanced/configuration.mdx
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@@ -217,6 +217,7 @@ Alright, let's dive into what each key means in the yaml config above:
- `collection_name` (String): The initial collection name for the vectordb, set to 'full-stack-app'.
- `dir` (String): The directory for the local database, set to 'db'.
- `allow_reset` (Boolean): Indicates whether resetting the vectordb is allowed, set to true.
- `batch_size` (Integer): The batch size for docs insertion in vectordb, defaults to `100`
<Note>We recommend you to checkout vectordb specific config [here](https://docs.embedchain.ai/components/vector-databases)</Note>
4. `embedder` Section:
- `provider` (String): The provider for the embedder, set to 'openai'. You can find the full list of embedding model providers in [our docs](/components/embedding-models).