mirror of
https://github.com/lancedb/lancedb.git
synced 2026-10-30 23:36:52 +00:00
Jack Ye
ddb318567a
## Summary - Complete the SQL reference: `ATTACH DATABASE`, the `CHANGES` clause, and `dedupe()`/`duplicate_pairs()` (verified against current sophon source; these were recently renamed from `vector_dedup`/`vector_duplicate_pairs`). Fix the blob-column default-projection claim and add the previously undocumented `blob_descriptor()`. - Enrich the gated Functions draft (still `.mintignore`'d, pre-release): chained Functions over blob outputs, GPU-produced blobs, Secrets, multi-input/output binding, `code=[module]` packaging. - Upgrade the materialized-view and computed-column auto-refresh drafts with precise, verified catch-up semantics, and add the missing `ALTER MATERIALIZED VIEW` / `CREATE ... WITH(...)` sections (also gated — the automatic-refresh scheduler is still dev/staging-only). - Thread one running example (video frames → GPU extract/caption → dedup → auto-refreshing materialized view) through Functions, materialized views, and the LeRobotDataset integration guide instead of a separate tutorial. - Rename "LanceDB OSS"/"OSS" to "LanceDB Embedded"/"Embedded" throughout (52 files); activate the existing availability-comparison mechanism on `basics/offerings.mdx` for a full feature-by-feature comparison table.
21 lines
779 B
Plaintext
21 lines
779 B
Plaintext
---
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title: "Benchmarks"
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sidebarTitle: "Benchmarks"
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description: "Published performance results for LanceDB Enterprise."
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icon: chart-line
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keywords: ["benchmarks", "performance", "throughput", "latency"]
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---
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<Badge color="red">Enterprise</Badge>
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This page describes a LanceDB Enterprise capability. The embedded form
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of LanceDB has no server to provide it. See
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[Architecture](/#architecture) for what differs between the two.
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Benchmark results are specific to a deployment's shape (cluster size, storage
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class, dataset), so they are published with LanceDB Enterprise.
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For tuning your own workload rather than comparing published numbers, see
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[Query plans](/search/explain) and the performance notes on
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[Search](/search#performance) and [Insert](/ingestion/insert#performance).
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