← LanceDBCONTENT HISTORYWHAT CHANGED · RULE-BASED ANALYSIS
changed
Update to LanceDB
Snapshot Oct 9, 2026 · 00:00 UTC · version 0.1.1
Package or technical metadata updated
Discoverability changed from “UNLISTED” to “LISTED”.
Observed in package metadata. These changes alone do not establish a new customer-facing feature.
Discoverability
Before
UNLISTED
After
LISTED
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changed /discoverability
BEFORE
"UNLISTED"
AFTER
"LISTED"
Full snapshot data
{
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"connector_id": null,
"created_at": "2026-08-27T21:31:06.073281Z",
"discoverability": "LISTED",
"id": "plugins_6a8f5be7126c819180b85cde4cf21163",
"is_template": false,
"name": "lancedb",
"release": {
"app_ids": [],
"app_manifest": null,
"app_templates": [],
"description": "Codex plugin for building multimodal data pipelines using LanceDB.",
"display_name": "LanceDB",
"id": "pluginrel_badaf67c81c88191b722af049ea3877e",
"interface": {
"brand_color": null,
"capabilities": [
"Developer Tools"
],
"category": "Developer Tools",
"composer_icon_dark_url": null,
"composer_icon_url": "https://files.openai.com/content?id=file_00000000fb8881fb8c97cc10ccf753d2",
"default_prompt": "Create a LanceDB table, add sample data, use a model to build embeddings, and run a vector search. Show the table and results.",
"default_prompts": [
"Create a LanceDB table, add sample data, use a model to build embeddings, and run a vector search. Show the table and results.",
"Build all the indexes this table will need to make search fast.",
"Run an experiment using 3 different embedding models in different branches."
],
"developer_name": "LanceDB",
"logo_url": "https://files.openai.com/content?id=file_00000000dff081fbbd2999dc59039985",
"logo_url_dark": "https://files.openai.com/content?id=file_00000000587881fbbf816c85ef1a875f",
"long_description": "Write, review, debug, and document LanceDB pipelines in Python and TypeScript that work across local LanceDB OSS tables and remote LanceDB Enterprise tables, with idiomatic query/search patterns and performance defaults for ingestion, indexing, filtering, and diagnostics.",
"plugin_category_id": "developer tools",
"privacy_policy_url": "https://242023405.fs1.hubspotusercontent-na2.net/hubfs/242023405/Website%20Documentation/privacy.pdf",
"screenshot_urls": [],
"short_description": "Build LanceDB pipelines",
"terms_of_service_url": "https://242023405.fs1.hubspotusercontent-na2.net/hubfs/242023405/Website%20Documentation/terms.pdf",
"website_url": "https://www.lancedb.com"
},
"keywords": [
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"full-text-search",
"hybrid-search",
"python",
"typescript",
"pipelines"
],
"onboarding_skill_name": null,
"requires_local_executor": false,
"skills": [
{
"description": "Use when writing, reviewing, debugging, or documenting LanceDB pipelines in Python or TypeScript, especially code that should work across local LanceDB OSS tables and remote LanceDB Enterprise/Cloud tables. Helps avoid non-portable full-table materialization, choose idiomatic query/search patterns, apply LanceDB performance defaults for ingestion, indexing, filtering, and diagnostics, and resolve connections to the remote server for Enterprise-only operations such as jobs.",
"interface": {
"brand_color": null,
"default_prompt": "Use $lancedb to create a table, embed sample text, and run a vector search.",
"display_name": "LanceDB",
"icon_large_url": "https://files.openai.com/content?id=file_00000000e2c481fb977595fad10d293e",
"icon_small_url": "https://files.openai.com/content?id=file_00000000f97c81fba70b7348f04f385e",
"iconography": "code",
"short_description": "Build LanceDB pipelines in Python and TypeScript"
},
"name": "lancedb",
"plugin_release_skill_id": "pluginrsk_6a90afc04fec81919e2f8c805f15cac5"
}
],
"version": "0.1.1"
},
"scope": "GLOBAL",
"status": "ENABLED"
}SHA-256 of public snapshot: 6892ac6a7e4d0f4b37055f1920d463adc59471722c94fa58d8cf00eb7e2dd728