An interactive guide to understanding Retrieval-Augmented Generation.
First, we need a knowledge base. Add some text documents below. These will be converted into 'embeddings' and stored in a vector database.
Our documents are now converted into numerical representations (vectors) and stored. Each vector represents the 'meaning' of the text.
No documents yet...
Now, ask a question related to the information you provided in the knowledge base.