mirror of
https://github.com/pgvector/pgvector.git
synced 2026-07-12 23:56:55 +08:00
Added guidance for probes to readme [skip ci]
This commit is contained in:
@@ -160,8 +160,8 @@ You can add an index to use approximate nearest neighbor search, which trades so
|
|||||||
Three keys to achieving good recall are:
|
Three keys to achieving good recall are:
|
||||||
|
|
||||||
1. Create the index *after* the table has some data
|
1. Create the index *after* the table has some data
|
||||||
2. Choose an appropriate number of lists (a good place to start is `rows / 1000` for up to 1M rows and `sqrt(rows)` for over 1M rows)
|
2. Choose an appropriate number of lists - a good place to start is `rows / 1000` for up to 1M rows and `sqrt(rows)` for over 1M rows
|
||||||
3. When querying, specify an appropriate number of [probes](#query-options) (higher is better for recall, lower is better for speed)
|
3. When querying, specify an appropriate number of [probes](#query-options) (higher is better for recall, lower is better for speed) - a good place to start is `lists / 10` for up to 1M rows and `sqrt(lists)` for over 1M rows
|
||||||
|
|
||||||
Add an index for each distance function you want to use.
|
Add an index for each distance function you want to use.
|
||||||
|
|
||||||
|
|||||||
Reference in New Issue
Block a user