Features
Portable deployment: edge, on-prem, hybrid, cloud
Sub-15ms local vector search with ANN indexing
99% recall at 10M vectors
Offline operation with sync-on-connect
CRUD operations for vector embeddings
Metadata filtering on vector search
Deploy on Raspberry Pi, NVIDIA Jetson
HIPAA/GDPR-compliant on-premises deployment
Consistent architecture from prototype to production
Integration with Actian Data Intelligence Platform
MCP (Model Context Protocol) server support
Python, JavaScript, Go client libraries
No environment-specific rewrites
Supports disconnected and air-gapped deployments
Web crawling and scraping API with Rust engine
AI Studio for natural language crawling (add-on $6/mo)
Browser AI commands via WebSocket: Act, Extract, Observe
Silk custom AI model for extraction and captcha solving
Browser Cloud with stealth anti-detection
Structured output: markdown, HTML, JSON, CSV, XML, plain text
Screenshot capture of pages
Link extraction from pages
Search endpoint for query-based data retrieval
Unblocker with rotating proxies and automatic retries
1,000+ ready-made scraper examples (32 categories)
Data connectors: S3, GCS, Google Sheets, Azure Blob, Supabase
Respects robots.txt (configurable)
Failed requests not billed
Open-source core available on GitHub
