This repository contains examples of how to use the duohub graph memory integration.
This example shows how to use the duohub graph memory integration with the pipecat framework for voice AI.
It uses:
- OpenAI for the LLM
- Cartesia for the TTS
- Daily for the audio call
- duohub for the graph memory integration
Dependencies are managed with Poetry. The project can be containerised with Docker and deployed on ECS.
This example demonstrates how to integrate duohub's graph memory with AWS Lambda for serverless memory retrieval.
It uses:
- AWS Lambda for serverless execution
- TypeScript for type-safe development
- duohub for memory retrieval
- Axios for API requests
Dependencies are managed with npm/yarn. The project can be deployed directly to AWS Lambda.