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Added support for indexing L1 distance

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This commit is contained in:
Andrew Kane
2024-04-22 12:44:03 -07:00
parent 6dad8460a6
commit af9d50481d
13 changed files with 122 additions and 10 deletions
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README.md
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@@ -227,6 +227,12 @@ Cosine distance
CREATE INDEX ON items USING hnsw (embedding vector_cosine_ops);
```
L1 distance - unreleased
```sql
CREATE INDEX ON items USING hnsw (embedding vector_l1_ops);
```
Hamming distance - unreleased
```sql
@@ -349,6 +355,12 @@ Cosine distance
CREATE INDEX ON items USING ivfflat (embedding vector_cosine_ops) WITH (lists = 100);
```
L1 distance - unreleased
```sql
CREATE INDEX ON items USING ivfflat (embedding vector_l1_ops) WITH (lists = 100);
```
Supported types are:
- `vector` - up to 2,000 dimensions
@@ -855,6 +867,7 @@ Operator | Description | Added
<-> | Euclidean distance |
<#> | negative inner product |
<=> | cosine distance |
<+> | taxicab distance | unreleased
### Vector Functions