Build powerful voice AI applications with duohub’s knowledge graph service
duohub is the foundational memory layer for voice AI applications, providing ultra-low latency knowledge graph capabilities through our API and SDK. Our service enables efficient memory management and retrieval for AI applications with global distribution.
duohub offers two primary approaches to memory management:
Our globally distributed infrastructure ensures minimal latency regardless of your users’ location.
duohub supports multiple data ingestion methods:
Support for PDF, Word, and Text documents
Single page or entire website ingestion
Multi-speaker video content processing
Multi-speaker audio processing
The fastest way to get started is with our Python SDK:
For other languages, use our REST API with comprehensive OpenAPI specification.
Set up your first knowledge graph in minutes
Explore our API documentation
High-performance graph architecture for precise memory retrieval
Assisted and non-assisted retrieval with supporting facts
Ultra-low latency serving through distributed infrastructure
Implementation examples and best practices
Build powerful voice AI applications with duohub’s knowledge graph service
duohub is the foundational memory layer for voice AI applications, providing ultra-low latency knowledge graph capabilities through our API and SDK. Our service enables efficient memory management and retrieval for AI applications with global distribution.
duohub offers two primary approaches to memory management:
Our globally distributed infrastructure ensures minimal latency regardless of your users’ location.
duohub supports multiple data ingestion methods:
Support for PDF, Word, and Text documents
Single page or entire website ingestion
Multi-speaker video content processing
Multi-speaker audio processing
The fastest way to get started is with our Python SDK:
For other languages, use our REST API with comprehensive OpenAPI specification.
Set up your first knowledge graph in minutes
Explore our API documentation
High-performance graph architecture for precise memory retrieval
Assisted and non-assisted retrieval with supporting facts
Ultra-low latency serving through distributed infrastructure
Implementation examples and best practices