Skip to content

Update knn-search.asciidoc #115928

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
wants to merge 1 commit into from
Closed

Update knn-search.asciidoc #115928

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
13 changes: 6 additions & 7 deletions docs/reference/how-to/knn-search.asciidoc
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -72,14 +72,13 @@ least enough RAM to hold the vector data and index structures. To check the
size of the vector data, you can use the <<indices-disk-usage>> API.

Here are estimates for different element types and quantization levels:
+
--
`element_type: float`: `num_vectors * num_dimensions * 4`
`element_type: float` with `quantization: int8`: `num_vectors * (num_dimensions + 4)`
`element_type: float` with `quantization: int4`: `num_vectors * (num_dimensions/2 + 4)`
`element_type: float` with `quantization: bbq`: `num_vectors * (num_dimensions/8 + 12)`
`element_type: byte`: `num_vectors * num_dimensions`
`element_type: bit`: `num_vectors * (num_dimensions/8)`
- `element_type: float`: `num_vectors * num_dimensions * 4`
- `element_type: float` with `quantization: int8`: `num_vectors * (num_dimensions + 4)`
- `element_type: float` with `quantization: int4`: `num_vectors * (num_dimensions/2 + 4)`
- `element_type: float` with `quantization: bbq`: `num_vectors * (num_dimensions/8 + 12)`
- `element_type: byte`: `num_vectors * num_dimensions`
- `element_type: bit`: `num_vectors * (num_dimensions/8)`
--

If utilizing HNSW, the graph must also be in memory, to estimate the required bytes use `num_vectors * 4 * HNSW.m`. The
Expand Down
Loading