Ailixir is an application that utilises LLMs and custom user input to generate AI agent prototypes specialised in fields such as health, economics, physics etc. The prototypes enable the user, which is an entrepreneur-developer, to compare the results produced by different LLMs.
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Integrate the chat app components with the LLM in the backend #225
At the moment we are still not querrying the LLM when writing at the chat bacause the LangChain pipeline that connects our custom context with the LLMs is not connected to the frontend reach native chat components. The objective of this backlog item is to integrate the React Native chat components with the LLM processes in the LangChain backend.
User Story
As a user,
I need to interact with the agent through an interface that is familar and easy
so that I can get the answers I want in the fastest and easiest way.
Acceptance Criteria
[ ] The react native chat components send user queries to the backend / LangChain processes.
[ ] The backend / LangChain processes generate responses using the LLM.
[ ] Responses are received by the chat components and are displayed in the chat bubbles.
Definition of Done
[ ] The feature has been fully implemented.
[ ] The feature has been manually tested and works as expected without critical bugs.
[ ] The feature code is documented with clear explanations of its functionality and usage.
[ ] The feature code has been reviewed and approved by at least one team member.
[ ] The feature branches have been merged into the main branch and closed.
[ ] The feature utility, function and usage have been documented in the respective project wiki on github.
Dependencies
199
Domain
app backend
Description
At the moment we are still not querrying the LLM when writing at the chat bacause the LangChain pipeline that connects our custom context with the LLMs is not connected to the frontend reach native chat components. The objective of this backlog item is to integrate the React Native chat components with the LLM processes in the LangChain backend.
User Story
As a user, I need to interact with the agent through an interface that is familar and easy so that I can get the answers I want in the fastest and easiest way.
Acceptance Criteria
Definition of Done