God, no. These tools serve fundamentally different purposes. Thinking like this is, I believe, one of the reasons it’s become so difficult to find what you’re looking for on Google when you know exactly what you’re looking for.
Question on this. Why is this true vs just having an LLM which knows your intent coming up with SQL queries or Elasticsearch queries?<p>I assume the LLM understands my intent through a well described prompt more than a direct input vector database would. Assuming this, why does the database matter? Just have a great db backend and then on top an LLM that helps you find the data you want?
For my work, ES's 'killer feature' was not the search, but rather complex aggregations over huge datasets (despite the crazy query syntax). Hard to see how vector databases would replace that.