mirror of
https://github.com/lancedb/lancedb.git
synced 2026-10-13 23:32:27 +00:00
Jack YeandBrendan Clement
47b7babc08
Move the public website pages into `docs/web` beside the SDK, with
shared navigation and executable example sources in `docs/web-tests`.
The combined website is assembled by
[lancedb/docs#355](https://github.com/lancedb/docs/pull/355), with six
Enterprise replacements from
[lancedb/sophon#7681](https://github.com/lancedb/sophon/pull/7681).
This includes Function guidance, runnable Quickstarts, regenerated
snippets, production contact/demo fixes, the legacy SQL route, and the
LeRobot redirect. LeRobot remains attributed to Geneva; all 34 Geneva
pages remain in the docs repository until Function officially launches.
Materialized-view guidance follows the full rebuild refresh introduced
by #4373: local refresh writes the complete result, has no `full`
argument, supports `source_version`, and no longer requires stable row
IDs. Deployment SQL refresh options and stable-ID setup are qualified by
version/configuration. Function input guidance distinguishes ordinary
stored columns from computed inputs supported by newer deployments.
**Validation:** independently accepted local checks include 95 Python
tests (real Enterprise excluded), eight TypeScript tests, Rust
Quickstart, snippet parity, typos, deterministic assembly, Mint
validation and links/anchors/redirects. The combined baseline retains
all 181 production routes and 17 legacy redirects. Examples ran locally
against source-built Python SDK 0.40.0b13; existing GitHub workflows do
not run `docs/web-tests`. New main at `069b2f7d` is 0.41.0b0 and adds
computed Function inputs; that SDK was not exercised by the accepted
tests. Latest prose corrections receive focused site validation.
**Merge/rollout:** merge this and #7681 before #355's combined CI, which
reads producer `main`. This is migration infrastructure: section
overlays, source-owned skills and automatic versioned paired releases
remain follow-ups. The current manual publisher is transitional. Hosted
validation, a supported SDK/Enterprise release pair and a real
Enterprise walkthrough remain pending.
Production Mintlify watches `lancedb/docs:deploy-freeze`, directory
`docs`; preserve that source through review. The separate SDK GitHub
Pages reference workflow rebuilds on main merges.
**Updated-head CI (9a50f8db):**
[Typos](https://github.com/lancedb/lancedb/actions/runs/37654185443/job/112904990558),
[PR
title](https://github.com/lancedb/lancedb/actions/runs/37654179507/job/112904974595)
and
[Aikido](https://app.aikido.dev/featurebranch/scan/215386145?groupId=74229)
pass. Critical findings in the example lockfiles were patched: all Sharp
copies use 0.35.5, protobufjs 7.6.6, tar 7.5.22, quinn-proto 0.11.19,
zerovec 0.11.8 and zerovec-derive 0.11.6. The SDK's product dependencies
are unchanged. The revised lockfiles pass eight TypeScript examples,
HuggingFace decode/resize/crop/rescale/normalize plus AVIF roundtrip,
and Rust Quickstart. Aikido passing does not mean every advisory is
cleared; npm still reports 29 high and five moderate advisories in the
example dependency graph. No scanner bypass or suppression was added.
The Function prose correction passes combined/standalone Mint,
deterministic assembly, routes and assets. The revised 325-file site
checksum is
`175bec06864abb400dd292e667ba93448c0479b8359fd7bf6146afabf9040647`. This
PR remains open for independent review; further merges are on hold.
---------
Co-authored-by: Brendan Clement <brendan.clement@lancedb.com>
53 lines
2.6 KiB
Plaintext
53 lines
2.6 KiB
Plaintext
---
|
||
title: Answer.AI Rerankers
|
||
sidebarTitle: "Answer.AI"
|
||
description: Use AnswerDotAI's lightweight reranking library with LanceDB. Features unified API for common reranking models, configurable model selection, and comprehensive scoring options.
|
||
|
||
---
|
||
|
||
import { PyRerankingAnswerdotaiUsage } from '/snippets/integrations.mdx';
|
||
|
||
# Answer.AI Rerankers
|
||
|
||
This integration uses [AnswersDotAI's rerankers](https://github.com/AnswerDotAI/rerankers) to rerank the search results, providing a lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.
|
||
|
||
> **Note:** Supported query types – Hybrid, Vector, and FTS.
|
||
|
||
|
||
<CodeGroup>
|
||
<CodeBlock filename="Python" language="Python" icon="python">
|
||
{PyRerankingAnswerdotaiUsage}
|
||
</CodeBlock>
|
||
</CodeGroup>
|
||
|
||
## Accepted Arguments {#accepted-arguments}
|
||
| Argument | Type | Default | Description |
|
||
| --- | --- | --- | --- |
|
||
| `model_type` | `str` | `"colbert"` | The type of model to use. Supported model types can be found here: https://github.com/AnswerDotAI/rerankers. |
|
||
| `model_name` | `str` | `"answerdotai/answerai-colbert-small-v1"` | The name of the reranker model to use. |
|
||
| `column` | `str` | `"text"` | The name of the column to use as input to the cross encoder model. |
|
||
| `return_score` | `str` | `"relevance"` | Options are "relevance" or "all". The type of score to return. If "relevance", will return only the `_relevance_score. If "all" is supported, will return relevance score along with the vector and/or fts scores depending on query type. |
|
||
|
||
|
||
|
||
## Supported Scores for each query type {#supported-scores-for-each-query-type}
|
||
You can specify the type of scores you want the reranker to return. The following are the supported scores for each query type:
|
||
|
||
### Hybrid Search {#hybrid-search}
|
||
|`return_score`| Status | Description |
|
||
| --- | --- | --- |
|
||
| `relevance` | ✅ Supported | Results only have the `_relevance_score` column. |
|
||
| `all` | ❌ Not Supported | Results have vector(`_distance`) and FTS(`score`) along with Hybrid Search score(`_relevance_score`). |
|
||
|
||
### Vector Search {#vector-search}
|
||
|`return_score`| Status | Description |
|
||
| --- | --- | --- |
|
||
| `relevance` | ✅ Supported | Results only have the `_relevance_score` column. |
|
||
| `all` | ✅ Supported | Results have vector(`_distance`) along with Hybrid Search score(`_relevance_score`). |
|
||
|
||
### FTS Search {#fts-search}
|
||
|`return_score`| Status | Description |
|
||
| --- | --- | --- |
|
||
| `relevance` | ✅ Supported | Results only have the `_relevance_score` column. |
|
||
| `all` | ✅ Supported | Results have FTS(`score`) along with Hybrid Search score(`_relevance_score`). |
|