Weaviate is an open-source vector search engine that allows you to store data objects and vector embeddings, enabling efficient and scalable semantic search. It is designed to handle unstructured data and provides a robust schema-based approach to manage data classes and properties.
When working with Weaviate, you might encounter an error message stating 'Class Not Found'. This typically occurs when you attempt to query or manipulate a class that Weaviate cannot locate within its schema.
The 'Class Not Found' error arises when the specified class name does not match any class defined in the Weaviate schema. This could be due to a typo, oversight in defining the schema, or attempting to use a class that has been deleted or not yet created.
Weaviate uses a schema to define the structure of your data. Each class in the schema represents a type of data object, and it must be explicitly defined before use. You can learn more about schema management in the Weaviate Schema Documentation.
Follow these steps to diagnose and resolve the 'Class Not Found' error:
First, check if the class is defined in your schema. You can retrieve the current schema using the following API call:
GET /v1/schema
This will return the entire schema. Ensure that the class you are trying to access is listed.
Ensure that the class name in your query matches exactly with the class name in the schema. Class names are case-sensitive and must be spelled correctly.
If the class is not present, you need to define it. Use the following command to add a new class to the schema:
POST /v1/schema
{
"class": "YourClassName",
"properties": [
{
"name": "propertyName",
"dataType": ["string"]
}
]
}
Replace YourClassName and propertyName with your desired class and property names.
By ensuring your schema is correctly defined and your class names are accurate, you can effectively resolve the 'Class Not Found' error in Weaviate. For further assistance, refer to the Weaviate Developer Documentation.
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