Participated in a session about RAG presented by AI startups, but the content was obscure and not helpful for me.
It was a tough day handling many things.
I've been looking into RAG (Retrieval-Augmented Generation)
Retrieval-Augmented Generation (RAG) is a framework that combines retrieval-based and generation-based approaches to create more accurate and contextually aware natural language understanding and generation systems.
RAG is particularly useful for tasks like question answering, information retrieval, and knowledge-based text generation.
The retrieval-based part finds relevant knowledge (documents or passages) from (vector) database and passes them to the generation-based part. Then, the generator component uses the information to form more accurate answers.
I'm thinking about creating a dashboard where I show related data of me such as Codeforces rating.
Here are the APIs I might want to use
https://codeforces.com/api/user.rating?handle=utsu_boy
https://codeforces.com/api/user.status?handle=utsu_boy&from=1&count=1000
Kombucha 100 Sushi bowl 900 Yogurt 300 Lunchable 500 Eggs 400
Total 2200 kcal
TODO: