JSON Field
This chapter introduces the JSON field type, and provides guides on how to index a JSON field.
JSON Field Overview [READ MORE]
When building applications like product catalogs, content management systems, or user preference engines, you often need to store flexible metadata alongside your vector embeddings. Product attributes vary by category, user preferences evolve over time, and document properties have complex nested structures. JSON fields in Zilliz Cloud solve this challenge by allowing you to store and query flexible structured data without sacrificing performance.
JSON Indexing [READ MORE]
JSON fields provide a flexible way to store structured metadata in Zilliz Cloud. Without indexing, queries on JSON fields require full collection scans, which become slow as your dataset grows. JSON indexing enables fast lookups by creating indexes on within your JSON data.
JSON Shredding [READ MORE]
JSON shredding accelerates JSON queries by converting traditional row-based storage into optimized columnar storage. While maintaining JSON's flexibility for data modeling, Zilliz Cloud performs behind-the-scenes columnar optimization that dramatically improves access and query efficiency.