Can we search through the documents "which targets specific information"? Suppose, I want to search for the articles which talk about "young males in their 20s". Now, that doesn't necessarily look for that phrase because it is unlikely that it will be the case. Then how would I search like that? Should I pass metadata? How to pass additional information that can be used to filter the documents for the retrival?
![Noob To Max With DRAGON REWORK In Blox Fruits [FULL MOVIE]](http://i.ytimg.com/vi/LnBMOinoOvA/mqdefault.jpg)
Great speaking skills by Sam. Vector databases are going to partner with LLMs beautifully.
Can we search through the documents "which targets specific information"? Suppose, I want to search for the articles which talk about "young males in their 20s". Now, that doesn't necessarily look for that phrase because it is unlikely that it will be the case. Then how would I search like that? Should I pass metadata? How to pass additional information that can be used to filter the documents for the retrival?
Good but, how does it compare against the other vector DBs?
I can't find the blog
@5:00, bottom of the slide
Vector addition is high level term?
SingleStore DB has hybrid search capabilities.
sickkkkk
Is there a possibility if we can get the presentation deck?
1 minus cosine similarity? Why?
You're calculating the distance between the vectors. when normalized, 1-distance = how similiar the vectors are.
Come on people, his jokes weren't that bad.
yea they were
Great explanation
ai datab bases