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.