paras_athina

4 ms·

1. 1.▲
   by paras_athina 2y ago

   I agree and I have practical proof to say that. In an experiment we did at Athina, we made a cookbook for every RAG Technique out there and then evaluated it. We used different vector Db's, different embeddings and we saw different res
2. 2.▲
   by paras_athina 2y ago

   RAG is amazing. For all the RAG techniques that are being used by enterprises today, here is an amazing repo that provides Google Collab Links for each technique implementation along with an evaluation framework fully implemented. Check out
3. 3.▲
   by paras_athina 2y ago

   Large Language Models are trained on a fixed dataset, which limits their ability to handle private or recent information. They can sometimes "hallucinate", providing incorrect yet believable answers. The Retrieval-Augmented Genera