Connect Frontend(React) with RASA server2
Budget: €250 – €750 EUR
our task will be to check the connections within an Ubuntu server using Docker and RASA server and resolve any technical issues, detailing the actions taken to fix them.
The frontend is built and served using Vite platform with React 18 with TypeScript designed to provide a user interface for chat functionality with authentication. Frontend should be connected to RASA for interaction.
PROJECT REQUIREMENTS
1.-After implementation we will be obtaining a complete Backend integration with Rasa including Langchain, Embeddings & Memory Enhancements enabling personalization and coherence in responses to achieve human like iterations and behavior. Rasa will follow a predefined (and updatable along time) questions list during Therapy seasons creating new questions to Inquire more deeply into the user when required to clarify patient answers. Context must me ensured during therapy sessions that can be continued during long period of time (months, years). if needed, OpenAI will be used as FallBack for complex queries. Training Data can be changed and oriented in the future to ensure the model is flexible and customizable to evolve over time.
2.- Training Documentation: We will be obtaining a step-by-step guide for future Rasa training will make it easier for other users to train and fine-tune the model more efficiently
3.- Technical Documentation: We will be obtaining detailed technical documentation, covering the integrations, systems, services, and connections involved in the development. This will offer a comprehensive understanding of the system's architecture, ensuring future developers can efficiently maintain, troubleshoot, and expand the system.
The frontend is built and served using Vite platform with React 18 with TypeScript designed to provide a user interface for chat functionality with authentication. Frontend should be connected to RASA for interaction.
PROJECT REQUIREMENTS
1.-After implementation we will be obtaining a complete Backend integration with Rasa including Langchain, Embeddings & Memory Enhancements enabling personalization and coherence in responses to achieve human like iterations and behavior. Rasa will follow a predefined (and updatable along time) questions list during Therapy seasons creating new questions to Inquire more deeply into the user when required to clarify patient answers. Context must me ensured during therapy sessions that can be continued during long period of time (months, years). if needed, OpenAI will be used as FallBack for complex queries. Training Data can be changed and oriented in the future to ensure the model is flexible and customizable to evolve over time.
2.- Training Documentation: We will be obtaining a step-by-step guide for future Rasa training will make it easier for other users to train and fine-tune the model more efficiently
3.- Technical Documentation: We will be obtaining detailed technical documentation, covering the integrations, systems, services, and connections involved in the development. This will offer a comprehensive understanding of the system's architecture, ensuring future developers can efficiently maintain, troubleshoot, and expand the system.