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docs: Duplicate IDs note in README.md
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README.md

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@@ -240,26 +240,26 @@ The appropriate Spark data types are mapped to the Qdrant payload based on the p
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## Options and Spark types
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| Option | Description | Column DataType | Required |
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| :--------------------------- | :----------------------------------------------------------------------------------- | :-------------------------------- | :------- |
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| `qdrant_url` | gRPC URL of the Qdrant instance. Eg: <http://localhost:6334> | - ||
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| `collection_name` | Name of the collection to write data into | - ||
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| `schema` | JSON string of the dataframe schema | - ||
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| `embedding_field` | Name of the column holding the embeddings (Deprecated - Use `vector_fields` instead) | `ArrayType(FloatType)` ||
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| `id_field` | Name of the column holding the point IDs. Default: Random UUID | `StringType` or `IntegerType` ||
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| `batch_size` | Max size of the upload batch. Default: 64 | - ||
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| `retries` | Number of upload retries. Default: 3 | - ||
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| `api_key` | Qdrant API key for authentication | - ||
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| `vector_name` | Name of the vector in the collection. | - ||
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| `vector_fields` | Comma-separated names of columns holding the vectors. | `ArrayType(FloatType)` ||
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| `vector_names` | Comma-separated names of vectors in the collection. | - ||
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| `sparse_vector_index_fields` | Comma-separated names of columns holding the sparse vector indices. | `ArrayType(IntegerType)` ||
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| `sparse_vector_value_fields` | Comma-separated names of columns holding the sparse vector values. | `ArrayType(FloatType)` ||
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| `sparse_vector_names` | Comma-separated names of the sparse vectors in the collection. | - ||
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| `multi_vector_fields` | Comma-separated names of columns holding the multi-vector values. | `ArrayType(ArrayType(FloatType))` ||
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| `multi_vector_names` | Comma-separated names of the multi-vectors in the collection. | - ||
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| `shard_key_selector` | Comma-separated names of custom shard keys to use during upsert. | - ||
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| `wait` | Wait for each batch upsert to complete. `true` or `false`. Defaults to `true`. | - ||
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| Option | Description | Column DataType | Required |
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| :--------------------------- | :---------------------------------------------------------------------------------------------------- | :-------------------------------- | :------- |
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| `qdrant_url` | gRPC URL of the Qdrant instance. Eg: <http://localhost:6334> | - ||
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| `collection_name` | Name of the collection to write data into | - ||
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| `schema` | JSON string of the dataframe schema | - ||
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| `embedding_field` | Name of the column with the embeddings (Deprecated - Use `vector_fields` instead) | `ArrayType(FloatType)` ||
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| `id_field` | Name of the column with the point IDs. Points with the same IDs are overwritten. Default: Random UUID | `StringType` or `IntegerType` ||
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| `batch_size` | Max size of the upload batch. Default: 64 | - ||
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| `retries` | Number of upload retries. Default: 3 | - ||
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| `api_key` | Qdrant API key for authentication | - ||
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| `vector_name` | Name of the vector in the collection. | - ||
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| `vector_fields` | Comma-separated names of columns holding the vectors. | `ArrayType(FloatType)` ||
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| `vector_names` | Comma-separated names of vectors in the collection. | - ||
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| `sparse_vector_index_fields` | Comma-separated names of columns holding the sparse vector indices. | `ArrayType(IntegerType)` ||
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| `sparse_vector_value_fields` | Comma-separated names of columns holding the sparse vector values. | `ArrayType(FloatType)` ||
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| `sparse_vector_names` | Comma-separated names of the sparse vectors in the collection. | - ||
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| `multi_vector_fields` | Comma-separated names of columns holding the multi-vector values. | `ArrayType(ArrayType(FloatType))` ||
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| `multi_vector_names` | Comma-separated names of the multi-vectors in the collection. | - ||
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| `shard_key_selector` | Comma-separated names of custom shard keys to use during upsert. | - ||
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| `wait` | Wait for each batch upsert to complete. `true` or `false`. Defaults to `true`. | - ||
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## LICENSE
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