Weaviate Schema Definition
Design and manage your data schema in Weaviate, defining classes and properties for your vector objects.
Weaviate Schema: Your Data Map
Welcome to Weaviate! To store and search data effectively, Weaviate needs to understand its structure. This is where the schema comes in.
Think of a schema as a blueprint for your data. It defines the types of data you'll store and how they relate.
Why Schema Matters
A well-defined schema is crucial for:
- Data Consistency: Ensuring all objects conform to expected types.
- Efficient Indexing: Weaviate uses the schema to build efficient search indexes.
- Vectorization: Guiding how Weaviate generates and stores vector embeddings for your data.
- Querying: Enabling powerful semantic and filtered searches.
All lessons in this course
- Weaviate Schema Definition
- Importing Data Objects
- Weaviate GraphQL Queries
- Vectorizer Modules and Auto-Embedding