Concepts
Foundational knowledge for building AI applications with RedisVL. These concepts are language-agnostic and apply across all RedisVL implementations.
🏗️ Architecture
How RedisVL components connect: schemas, indexes, queries, and extensions.
🔍 Search & Indexing
Schemas, fields, documents, storage types, and query patterns.
🏷️ Field Attributes
Configure sortable, no_index, index_missing, and other field options.
🔎 Query Types
Vector, filter, text, hybrid, and multi-vector query options.
🔧 Utilities
Vectorizers for embeddings and rerankers for result optimization.
🧠 MCP
How RedisVL exposes an existing Redis index to MCP clients through a stable tool contract.
🧩 Extensions
Pre-built patterns: caching, message history, and semantic routing.