Build search that works at scale without stitching together multiple systems.
Most teams end up piecing together separate tools to handle different search needs; vector search for meaning, keyword search for precision, filters layered on top. It works until you need to scale across more use cases, more data, and more queries.
Unify vectors, text, and filters in a single query. So instead of rebuilding your search stack every time requirements grow, you can support everything from semantic search to RAG to filtered discovery all in one system that scales with you. You'll see how a simpler architecture leads to faster performance, fewer moving parts, and less time spent managing infrastructure.
You’ll see how a simpler architecture leads to faster performance, fewer moving parts, and less time spent managing infrastructure.
Run semantic, keyword, and filtered search in a single query
Support multiple use cases; semantic search, RAG, filtered discovery without adding new systems
Simplify your architecture and reduce system complexity as you scale
Deliver fast, relevant results with fewer hops, and see it all in a live demo
Speakers
Redis
Samuel Agbede
Developer Advocate
Register now
Get started with Redis today
Speak to a Redis expert and learn more about enterprise-grade Redis today.
