Concepts

Foundational knowledge for building AI applications with RedisVL. These concepts are language-agnostic and apply across all RedisVL implementations.

How RedisVL components connect: schemas, indexes, queries, and extensions.

Schemas, fields, documents, storage types, and query patterns.

Configure sortable, no_index, index_missing, and other field options.

Vector, filter, text, hybrid, and multi-vector query options.

Vectorizers for embeddings and rerankers for result optimization.

Pre-built patterns: caching, message history, and semantic routing.