Features
Auto-scaling compute and storage
Tiered storage (DRAM, SSD, object) for cost efficiency
Vector similarity search (cosine, Euclidean, IP, etc.)
Hybrid search (dense, sparse, multimodal)
Tunable consistency levels
One-click data migration to dedicated or open-source Milvus
Backup and restore (scheduled, cross-region)
Integration with embedding models (OpenAI, Cohere, Hugging Face)
RESTful API and SDKs (Python, Java, Go, Node.js)
Metric monitoring and alerts
Access controls (RBAC, project/user management)
Encryption at rest and in transit
On-demand compute for lake-scale search jobs (zero-copy external data)
Support for collections, indexes, and filtering
99.95% uptime SLA (Enterprise tier)
Packet-Aware AI Agents for cross-document validation
Multi-Model Optimization for dynamic model selection
Deep Document Understanding for structured document maps
Contextual linking across documents in a packet
Applied business logic for rule-based analysis
Auditable and verifiable generative AI outputs
Human-in-the-loop review with task dashboards
No-code app builder for document processing workflows
Chat with documents for on-demand insights (single & multi-file)
Supports 55+ rich file formats
Handwriting recognition and multi-language recognition
Long document support (100+ pages)
Unlimited users in collaborative and personal workspaces
Enterprise-grade security with compliance controls (SSO, IP whitelisting)
Connect your own cloud storage (AWS S3, Azure, GCP, Google Drive)
