Hybrid Search
This page describes the parameters for hybrid search as part of AI libs.
.ai.hybrid.rrf
The .ai.hybrid.rrf
function applies reciprocal ranked fusion on search results.
Parameters
Name |
Type(s) |
Description |
---|---|---|
|
(real[]; long[])[] | int[][] | long[][] |
The list of nearest neighbor results from |
|
int | long | real | float |
The constant term for RRF (typically 60) |
Returns
Type |
Description |
---|---|
long[] |
Re-ranked IDs |
Example
q
a:101 102 103 104 105;
b:103 106 101 107 108;
.ai.hybrid.rrf[(a;b);60];
101 103 102 106 104 107 105 108
.ai.hybrid.wrrf
The .ai.hybrid.wrrf
function applies weighted reciprocal ranked fusion on search results.
Parameters
Name |
Type(s) |
Description |
---|---|---|
|
(real[]; long[])[] | int[][] | long[][] |
The list of nearest neighbor results from |
|
long[] |
The list of weightings, same length as results |
|
int | long | real | float |
The constant term for RRF (typically 60) |
Returns
Type |
Description |
---|---|
long[] |
Re-ranked IDs |
Example
q
a:101 102 103 104 105;
b:103 106 101 107 108;
.ai.hybrid.wrrf[(a;b);1 2;60];
103 101 106 107 108 102 104 105