*💡This project is inspired by youtuber [All About AI](https://www.youtube.com/@AllAboutAI)'s video on [Second Brain](https://www.youtube.com/watch?v=1k2JpJRIoAA&ab_channel=AllAboutAI). Please consider support him!*
*💡As I am not a professional programmer and am fairly new to Python, this project may contain bugs. If you encounter any issues, please suggest them in the [Issues section](https://github.com/sean1832/GPT-Brain/issues).*
This program leverages the power of [GPT-3](https://platform.openai.com/docs/models/gpt-3) & [3.5](https://platform.openai.com/docs/models/gpt-3-5) to provide a summary of the content of atomic notes,
as well as answer questions related specifically to your notes.
The program scans a designated directory,
which is typically a vault containing multiple notes,
and appends the contents of all the notes to a single file.
This file then serves as the context for the user's query.
The program is able to identify
relationships between the contents of the notes,
and generate a refined response that summarizes the key points.
Although the program is compatible with other note-taking software that uses
markdown or txt,
it is primarily designed with [Obsidian](https://obsidian.md/) in mind.
- [x] Use [OpenAI GPT-3](https://platform.openai.com/docs/models/gpt-3) and [GPT-3.5 (ChatGPT)](https://platform.openai.com/docs/models/gpt-3-5) to generate response.
- [x] Use [OpenAI embedding](https://platform.openai.com/docs/guides/embeddings/what-are-embeddings) for semetic comparison of question and note content for enhanced searching.