Concept
Embedding
A numerical vector representing the meaning of text. The basis of semantic search.
An embedding is a high-dimensional vector (often 1536 or 3072 dimensions) representing the semantic meaning of a piece of text. Similar meanings → similar vectors → close in space.
Niyra uses OpenAI text-embedding-3-small for memory and semantic search.
Related
32+
Integrations
OAuth-first
5
Channels
Web, WhatsApp, Telegram, Discord, voice
100+
Native tools
Memory, voice, browser, automation
18
Skills
JIT-loaded per turn
Keep going
Channel
Niyra on WhatsApp
Voice notes, photos, PDFs. Same Niyra as web. Where you already are.
ReadFeature
She remembers
Vector memory across sessions. Tell her on Monday, she knows on Friday.
ReadSolutions
AI for founders
The AI that runs the boring half of your company while you build.
ReadPricing
Free trial, no card
2,000 credits to put Niyra through a real day. Pro at $9 intro.
ReadIntegrations
32 apps connected
Gmail, Calendar, Slack, Linear, GitHub, Notion. All via OAuth.
ReadDocs
5-minute quickstart
Sign up, connect Gmail, set a brief. Niyra running in 5 minutes.
Read