Merge main into gatekeeper/fix-2325-1

This commit is contained in:
Gatefixer
2026-09-29 01:37:56 +00:00
97 changed files with 10970 additions and 498 deletions
+50
View File
@@ -200,6 +200,33 @@ listing a storage directory.
::: lancedb.materialized_view.MaterializedViewDefinition
::: lancedb.vector_dedup
::: lancedb.materialized_view.VectorDedupSource
For an existing indexed source, declare and materialize a dedup result without
writing SQL. Creation captures the source version once and waits for the complete
result; remote connections use the service's MV jobs.
```python
from lancedb import vector_dedup
view = db.create_materialized_view(
"images_clean",
vector_dedup("images", column="phash", distance_threshold=4),
)
cleaned = view.table
```
To submit without waiting, call `db.create_materialized_view_async(...)` with the
same source expression and wait on the returned job. To declare only, pass
`with_no_data=True`, then use `view.refresh_async().wait()` when ready. Pass
`dataset_version=...` to `vector_dedup` for an explicit snapshot. The default
policy retains direct representatives (A-B-C without A-C keeps A and C), preserves
the source, and materializes its original columns. Only within-segment/partition
pairs are covered, using the index's distance representation.
## Views
::: lancedb.view.ViewDescription
@@ -381,6 +408,29 @@ still work. Queries return descriptors. Call
## Reranking
`TypeSafeReranker` supports opt-in request batching:
```python
from lancedb.rerankers import TypeSafeReranker
reranker = TypeSafeReranker(batch_size=40, max_concurrency=8)
```
The default `batch_size=1` keeps the query and document in request state and
sends one request per non-null candidate. With `batch_size=40`, 80 non-null
candidates require two requests. `max_concurrency` still limits simultaneous
requests, and the SDK handles retries.
In batched mode, state contains only `{"query": query}`. Each independent
question contains `{"question": instructions, "document": document}` in its
structured instructions, so it sees only its own document and the shared query.
Custom instructions and criteria are kept verbatim: adapt prompts that explicitly
reference request-state fields such as `state.document` before enabling batching.
Null documents retain a zero score without an API call; empty strings are scored.
API failures, mismatched answer IDs, and invalid probabilities raise errors.
Batching changes the payload and can affect model scores; compare quality and
latency on your workload before opting in.
::: lancedb.rerankers
options:
show_root_heading: false