aws-ai-stack
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AWS AI Stack – A ready-to-use, full-stack boilerplate project for building serverless AI applications on AWS
Is there away to query your custom rug for context and data so that you can use LLM to answer based on retrieved data?
This gives us control over the child process running the script, so that we can suppress its output.
The chat history is only persisted in memory and a hard refresh loses the state. It would be nice to have the ability to save the chat sessions.
The auth service currently only support login & registration. It does not support any verification, or forgot-passwords flow. This was by design to avoid the complexity of setting up Cognito...