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)
AI agent on-call triage and investigation
Co-work with agents during incident resolution
Automatic root cause analysis for complex issues
Background agents for scheduled workflows
Custom agents via MCP, API, and Skills
Tribal knowledge capture from chats and runbooks
Mult-agent council for improved RCA accuracy
SAML SSO, RBAC, and admin controls
Data redaction, encryption, and retention
Activity and support access logging
SOC 2 Type II certification
HIPAA and GDPR compliance
Severity-based vulnerability triage
Integration with Slack and Microsoft Teams
Resolve AI Workbench for collaborative investigation
