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