Models & platforms
Redis Vector
Vector search and retrieval built into Redis.
Redis Vector is an AI product focused on vector search and retrieval built into Redis. Its official product surface combines semantic retrieval infrastructure with data ingestion and search apis. It is best evaluated for teams or individuals who need to store, retrieve, and ground AI applications with external data.
Key features
- Vector search and retrieval built into Redis
- Semantic retrieval infrastructure
- Data ingestion and search APIs
Pros and tradeoffs
Strengths
- Provides infrastructure for retrieval and grounded generation
Consider before choosing
- Retrieval quality depends on data preparation, indexing, and evaluation
What people use Redis Vector for
- store, retrieve, and ground AI applications with external data
Frequently asked questions
What is Redis Vector best suited for?
Redis Vector is best evaluated for people who need to store, retrieve, and ground AI applications with external data. Verify current features, limits, and terms on the official site.
