LangChain's AI Executive Assistant for emails seems innovative. Has anyone tried it and found it useful? Curious how effective the human-in-the-loop model is.
Can you cover multi knowledge based agent system where we are using multiple RAG ,example aws bedrock ,share point ,lancedb , web crawler,graph rag How to execute or which is suitable structure for this
Not really sure how langchain works so, I got a question. How does this keep the email information still confidential? if it is calling openai. Langchain will run a RAG right? then build some "memory" over time, but how is the confidentiality handled?
you'd have to use only locally deployed models to keep your emails private, and no langsmith api key, also don't deploy to langgraph platform; with the current design (what was shown in the video) open ai, anthropic, and langchain, they all see all your private emails
Loving the developer focused video concept
very helpful Harrison, thank you so much for walking us through the code!
That's actually very helpful! Continue what you do
TQ .... loving this video. Please more video like this. on developer focused.
How sure are we that in the coming days we won't have another framework that's more "stable and controllable" than LangGraph? 😕🤔
Thank for sharing
Thanks for the video!
Didn't take long for google to flag your app as dangerous :)
LangChain's AI Executive Assistant for emails seems innovative. Has anyone tried it and found it useful? Curious how effective the human-in-the-loop model is.
human in the loop is just a pattern, but huge for anything where you don't want to trust a model to do something without authorization
idk, you should try it out or wait a little bit for other youtubers to clarify it
Can you cover multi knowledge based agent system where we are using multiple RAG ,example aws bedrock ,share point ,lancedb , web crawler,graph rag
How to execute or which is suitable structure for this
Not really sure how langchain works so, I got a question. How does this keep the email information still confidential? if it is calling openai. Langchain will run a RAG right? then build some "memory" over time, but how is the confidentiality handled?
you'd have to use only locally deployed models to keep your emails private, and no langsmith api key, also don't deploy to langgraph platform; with the current design (what was shown in the video) open ai, anthropic, and langchain, they all see all your private emails