AI Tutor - RAG

Retrieval augmented generation

The main goal is to provide answers to user questions using artificial intelligence to process the text.

The answers should be based in the information contained in the learning content.

We divide this big problem into 3 smaller problems:

  1. Chunking strategy: How to store the learning content in an index dividing it in the most appropriate way.

  2. Content retrieval: How to retrieve successfully the most appropriate content from the index based on the question from the user.

  3. Answer builder: How to use the content retrieved to generate the best answer to the question from the user.

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