Cohere vs NotebookLM: Which Is Better in 2026
Last month, I spent three days trying to synthesize 40 different PDFs for a market research project. I started by writing a Python script using Cohere’s API to handle the embeddings and semantic search, but quickly realized I was spending more time debugging code than actually analyzing the data. So, I dumped everything into NotebookLM instead. Within ten minutes, I had a synthesized summary and a surprisingly decent audio overview of the findings.