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docs: use the new overview diagrams on the landing page (#4714)
## Summary Updates the overview diagrams on the landing page. Rebased onto #4732, which moved the architecture and offerings content into `index.mdx` and drew it as Mermaid diagrams; this PR replaces those with the guide's diagrams. - **Architecture** (`#architecture`): the suite diagram (`lancedb-suite.svg`) replaces the first Mermaid diagram. Its Enterprise boxes read Search, Data exploration & curation, Feature engineering, Training, matching the guide's product hierarchy. - **LanceDB Embedded** (`#1-lancedb-oss`): adds the guide's Embedded diagram. Its storage box reads "Local Disk or Object Storage", since Embedded supports both. - **LanceDB Enterprise** (`#2-lancedb-enterprise`): the guide's Distributed diagram replaces the second Mermaid diagram. This also drops that diagram's "column + MV refresh" label; automatic refresh is still gated. - **Functions** are still unpublished, so the "Functions ·" label is removed from the Distributed diagram's jobs fleet. At release, restore the designer's original image from the Notion guide. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
Brendan Clement
co-authored by
Claude Opus 5.5
Claude Opus 5.5
parent
ddb318567a
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@@ -47,22 +47,7 @@ LanceDB Embedded and Enterprise are both built on [Lance](/basics/lance), which
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indexes in open, columnar files. The format and table model are the same across both offerings -- what changes is
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how storage and compute are organized around them.
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```mermaid
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%%{init: {"flowchart": {"curve": "basis", "nodeSpacing": 45, "rankSpacing": 55, "padding": 12}}}%%
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flowchart TB
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subgraph Embedded["LanceDB Embedded"]
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EmbApp(["Your application<br/>+ LanceDB SDK"])
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end
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subgraph Enterprise["LanceDB Enterprise"]
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EntSdk(["LanceDB SDK"]) --> EntEngine{{"Enterprise Distributed Engine"}}
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end
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Lance[("Lance format<br/>table data, versions, indexes")]
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Embedded --> Lance
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Enterprise --> Lance
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```
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Embedded reads and writes tables on local disk or in object storage from inside your application process.
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Enterprise keeps durable table data and index artifacts in object storage, independently of the machines serving
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@@ -87,6 +72,8 @@ Rust -- the application itself plans queries, builds indexes, and runs backgroun
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server to deploy. This fits local retrieval applications, notebooks, development, and single-node data pipelines,
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where your application controls its own compute resources and [table maintenance](/maintenance/compaction).
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### 2\. LanceDB Enterprise {#2-lancedb-enterprise}
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[LanceDB Enterprise](/enterprise) is a petabyte-scale (and beyond), distributed **multimodal lakehouse** platform
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@@ -97,24 +84,7 @@ and background work sized and scaled as separate components. A control plane gov
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and cluster lifecycle, separately from the data-plane components in the diagram below. See
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[Distributed search](/enterprise/distributed-search) for how query nodes and plan executors divide a request.
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```mermaid
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%%{init: {"flowchart": {"curve": "basis", "nodeSpacing": 45, "rankSpacing": 55, "padding": 12}}}%%
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flowchart TB
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Clients(["Clients"])
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QueryFleet{{"Query Fleet<br/>query serving"}}
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ExecutorRing{{"Executor Ring<br/>read execution + cache"}}
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MonitoringFleet{{"Monitoring Fleet"}}
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JobWorkerFleet{{"Job Worker Fleet<br/>indexing, column + MV refresh, compaction"}}
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Storage[("Cloud Object Storage")]
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Clients --> QueryFleet
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QueryFleet -- reads --> ExecutorRing
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QueryFleet -- writes --> Storage
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QueryFleet -- notifies --> MonitoringFleet
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MonitoringFleet -- creates jobs --> JobWorkerFleet
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ExecutorRing -- reads --> Storage
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JobWorkerFleet -- writes --> Storage
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```
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Teams choose Enterprise to:
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<title id="title">LanceDB suite</title>
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<desc id="desc">LanceDB Embedded supports search. LanceDB Enterprise is a multimodal lakehouse for search, data exploration and curation, feature engineering, and training. Both are built on the Lance open lakehouse format for multimodal AI.</desc>
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<text x="152" y="112" style="fill:#241712 !important;" font-family="Inter, Arial, sans-serif" font-size="32" font-weight="760">LanceDB Embedded</text>
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<text x="260" y="291" text-anchor="middle" style="fill:#241712 !important;" font-family="Inter, Arial, sans-serif" font-size="42" font-weight="500">Search</text>
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<text x="834" y="117" style="fill:#241712 !important;" font-family="Inter, Arial, sans-serif" font-size="44" font-weight="760">LanceDB Enterprise - Multimodal Lakehouse</text>
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<text x="1074" y="265" text-anchor="middle" style="fill:#241712 !important;" font-family="Inter, Arial, sans-serif" font-size="38" font-weight="500">Data exploration</text>
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<text x="1074" y="309" text-anchor="middle" style="fill:#241712 !important;" font-family="Inter, Arial, sans-serif" font-size="38" font-weight="500">& curation</text>
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<text x="1456" y="265" text-anchor="middle" style="fill:#241712 !important;" font-family="Inter, Arial, sans-serif" font-size="38" font-weight="500">Feature</text>
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<text x="1838" y="285" text-anchor="middle" style="fill:#241712 !important;" font-family="Inter, Arial, sans-serif" font-size="38" font-weight="500">Training</text>
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<tspan font-weight="760">Lance</tspan><tspan font-weight="500"> Open Lakehouse Format for Multimodal AI</tspan>
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</text>
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</svg>
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