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Andrew Kane
2023-08-08 16:15:36 -07:00
parent 19c7b4e85b
commit 0c0cb3e35e
5 changed files with 575 additions and 558 deletions
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README.md
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@@ -166,7 +166,7 @@ Supported index types are:
## IVFFlat
TODO Add description
An IVFFlat index clusters vectors into lists, and then searches a subset of those lists. It has faster build times and uses less memory than HNSW, but has lower query performance.
Three keys to achieving good recall are:
@@ -217,7 +217,12 @@ COMMIT;
## HNSW
TODO Add description and options
An HNSW index creates a multilayer graph between vectors. It has slower build times and uses more memory than IVFFlat, but has better query performance. There’s no training step like IVFFlat, so the index can be created without any data in the table.
The options for HNSW are:
- `m` - the max number of connections per layer (the bottom layer uses `2 * m`)
- `ef_construction` - the size of the dynamic candidate list for constructing the graph
Add an index for each distance function you want to use.