Features
Hybrid search combining dense vectors, sparse vectors, keywords, filters, and custom scoring
Multi-vector retrieval with late interaction (SMVE)
Vector search (dense and sparse)
Keyword search with BM25 scoring
File Search with grounded answers and citations
Unified retrieval engine for structured and unstructured data
Object storage-based storage for lower cost and unlimited scale
Sub-100ms latency at billion-scale
Native SDKs for Python, JavaScript, Rust, and SQL compatibility (Postgres wire protocol)
Custom scoring to combine multiple ranking signals
Document processing (PDFs, DOCX, images, text) with OCR, parsing, and embedding
Built-in multi-vector embedding for semantic search
Agentic and research query support for File Search
Private deployment (VPC or on-premises)
Multi-sensor core scanning: RGB, XRF, hyperspectral, LiDAR
LIBS-based detection of REEs and light elements (via Lumo Analytics)
AI-powered core logging on Digital Core Table
Resource modeling with RMSP integration
Drill Hole Optimizer for mine planning
Sub-48-hour turnaround time
4x faster than manual core logging
Over 400% project acceleration
End-to-end workflow from scanning to modeling
Domain expertise throughout mining cycle
High-fidelity data capture and analytics
Consistent logging with fewer errors
Professional consulting and training services
Decision engineering for critical mineral exploration
Cloud-based digital core collaboration
