Industries
Purpose-built AI systems for the industries we serve.
Not sure where to start?
Talk to our team
AI-native search that understands natural language and delivers direct answers
Multi-tenant AI CRM with a per-industry module architecture — each new industry gets a tailored feature set on shared infrastructure
AI orchestration layer coordinating agent workflows across CRMs, email, and marketing tools
Business analytics platform for data-driven decisions
Practice management software with AI-powered patient communication
Autonomous AI agents for ecommerce buying journeys
Intelligent scheduling that handles complex availability
Try Zunkiree Search Free
See how AI search delivers direct answers instead of links. Transform your customer experience.
Start free trialReady to build with AI?
Schedule a callState of AI in Nepal 2026
The definitive guide to AI adoption across Nepali industries. Free download.
Download reportReady to build with AI?
Schedule a call
Vector Database
A database optimized for storing and searching high-dimensional vectors, enabling semantic search and AI applications.
A vector database is a specialized database designed to store and query high-dimensional vectors (embeddings). Unlike traditional databases that match exact keywords, vector databases find semantically similar content. When text is converted to vectors using embedding models, similar concepts cluster together in vector space. This enables semantic search, recommendation systems, and RAG applications. Popular vector databases include Pinecone, Weaviate, Qdrant, and pgvector for PostgreSQL.
Explore more AI terms
Marketing
AEO (AI Engine Optimization)
Read definitionAI Commerce
Agentic Commerce
Read definitionAI Architecture
AI Agent
Read definitionAI Architecture
AI Orchestration
Read definitionSearch Technology
AI-Native Search
Read definitionAI Fundamentals
Context Window
Read definitionAI Fundamentals
Embeddings
Read definitionAI Training