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Hey everyone,
I recently developed an open-source tool called Email RAG Assistant to help manage and make sense of my overflowing inbox. It's a local app that:
? Summarizes emails into concise one-liners
?️ Automatically categorizes emails (Urgent, Important, Promotion, etc.)
? Allows natural language queries like:
"Did we ever discuss project XYZ?"
"How many emails did I receive from xyz@gmail.com last March?"
"Summarize my last 50 emails."
All processing is done locally to prioritize privacy. I'm using NVIDIA NIMs for inference, but I'm exploring integrations with local LLMs to enhance privacy further.
The project is still in its early stages, and I'm looking for feedback, suggestions, or contributions. Here's the GitHub repository:
Would love to hear your thoughts or any ideas for improvement!
I recently developed an open-source tool called Email RAG Assistant to help manage and make sense of my overflowing inbox. It's a local app that:
? Summarizes emails into concise one-liners
?️ Automatically categorizes emails (Urgent, Important, Promotion, etc.)
? Allows natural language queries like:
"Did we ever discuss project XYZ?"
"How many emails did I receive from xyz@gmail.com last March?"
"Summarize my last 50 emails."
All processing is done locally to prioritize privacy. I'm using NVIDIA NIMs for inference, but I'm exploring integrations with local LLMs to enhance privacy further.
The project is still in its early stages, and I'm looking for feedback, suggestions, or contributions. Here's the GitHub repository:
Would love to hear your thoughts or any ideas for improvement!