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feat: configure vector-io provider with an embedding model
Signed-off-by: Mustafa Elbehery <melbeher@redhat.com>
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29 changed files with 228 additions and 24 deletions
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@ -115,6 +115,7 @@ For more details on TLS configuration, refer to the [TLS setup guide](https://mi
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| `token` | `str \| None` | No | PydanticUndefined | The token of the Milvus server |
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| `consistency_level` | `<class 'str'>` | No | Strong | The consistency level of the Milvus server |
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| `kvstore` | `utils.kvstore.config.RedisKVStoreConfig \| utils.kvstore.config.SqliteKVStoreConfig \| utils.kvstore.config.PostgresKVStoreConfig \| utils.kvstore.config.MongoDBKVStoreConfig` | No | sqlite | Config for KV store backend |
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| `embedding` | `utils.vector_io.embedding_config.EmbeddingConfig \| None` | No | | Default embedding configuration for this provider. When specified, vector databases created with this provider will use these embedding settings as defaults. |
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| `config` | `dict` | No | {} | This configuration allows additional fields to be passed through to the underlying Milvus client. See the [Milvus](https://milvus.io/docs/install-overview.md) documentation for more details about Milvus in general. |
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> **Note**: This configuration class accepts additional fields beyond those listed above. You can pass any additional configuration options that will be forwarded to the underlying provider.
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