AI infrastructure tailored to your use case
From real-time results to data isolation and cost management, optimize for what you need.
A database to support all of your AI initiatives
AI use cases have diverse needs for usage patterns, data privacy, and performance. Weaviate’s flexible architecture adapts to various use cases, supporting more development teams across the AI journey.
Real-time data access
Serve the fastest results for low-latency applications. Store and retrieve billions of objects with millisecond response times.
Efficient resource consumption
Scale vertically and horizontally while managing costs. Reduce memory footprint and adapt resource consumption to the needs of your application.
Dynamic indexing
Leverage HNSW or flat indexing techniques based on speed and scale needs.
Advanced filtering
Apply complex filters for precise results without comprising speed.
Vector compression
Leverage Product, Binary, and Scalar Quantization to improve memory footprint and performance.
Native multi-tenancy
Isolate and secure customer data and make database operations more efficient.
Flexible storage tiers
Choose between hot, warm, and cold storage to align consumption with the needs of your use case.
Tenant management
Offload tenants to cold storage to reduce costs. Warm them up quickly when they become active.
-- Shaunak Godbole, Head of Infrastructure Engineering at Instabase
-- Samanyou Garg, CEO of Writesonic.