Replies: 2 comments
-
Only the top 20 notes can fit into the context (unless you use GPT-4-turbo with 128K context. And the way semantic (embedding) search works doesn't allow for many traditional keyword queries, which would be required for the "Drew" example. 🌴 |
Beta Was this translation helpful? Give feedback.
0 replies
-
Got it. Thanks @brianpetro. |
Beta Was this translation helpful? Give feedback.
0 replies
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
-
I'm not understanding why, after 1100 notes have been indexed, why are questions like this being answered incorrectly?
In addition, there's major errors in what it's finding when I query it:
That's wrong...
Have I setup something incorrectly?
Beta Was this translation helpful? Give feedback.
All reactions