mirror of
https://github.com/lancedb/lancedb.git
synced 2026-10-13 15:22:30 +00:00
Jack Ye
19f8f396ec
Ten merges and renames, all in one direction: fewer pages, each covering a whole subject. Table absorbs schema evolution and versioning. Vector search absorbs multi-vector. Explain absorbs explain analyze. Reranking was seven pages -- an overview and six rerankers of a few dozen lines each -- and is now one. The vector index page absorbs quantization, which was only ever a parameter of it. Indexing moves to Manage, where the other catalog objects are. The operational half stays in Operate as one Indexing page, absorbing GPU indexing -- which was filed in sophon despite importing lancedb's snippets and being mostly open-source content with one Enterprise-badged section. Performance was a single page aggregating tips for four unrelated operations, which is hard to keep current. Each section now sits with the operation it is about: ingestion tips on Insert, index tips on Indexing, compaction tips on Compaction, query tips on Search. Data Types leaves Concepts. The type reference belongs in the SQL reference, which already described the same types from the query side; Table now carries a short summary that points there. The multimodal material it had absorbed is its own page again, since storing blobs is a task rather than a type definition. Query becomes Semantic Search, Branches becomes Branch, and the Enterprise Security page becomes Compliance. Redirects cover every moved URL, and 30 files were repointed at the merged anchors.
43 lines
1.9 KiB
Plaintext
43 lines
1.9 KiB
Plaintext
---
|
|
title: "Use cases"
|
|
sidebarTitle: "Overview"
|
|
description: "Worked examples of building with LanceDB, by what you are building."
|
|
---
|
|
|
|
Every example is one page in the sidebar, grouped by what it builds. The
|
|
documentation explains how a feature works; these show it doing something.
|
|
|
|
Examples marked as notebooks live in the
|
|
[vectordb-recipes](https://github.com/lancedb/vectordb-recipes) repository and
|
|
are runnable in Colab; the rest are written up here.
|
|
|
|
## Where to start {#start}
|
|
|
|
<CardGroup cols={2}>
|
|
<Card title="Search" icon="magnifying-glass" href="/tutorials/search/hybrid-search-beir">
|
|
Vector, multi-vector, hybrid and full-text retrieval.
|
|
</Card>
|
|
<Card title="RAG" icon="robot" href="/tutorials/agents/contextual-rag">
|
|
Retrieval-augmented generation and agent applications.
|
|
</Card>
|
|
<Card title="Feature engineering" icon="wand-magic-sparkles" href="/tutorials/feature-engineering/feature-engineering-101">
|
|
Deriving columns, materialized views, experimenting on branches.
|
|
</Card>
|
|
<Card title="Training" icon="graduation-cap" href="/training/object-detection">
|
|
Curating data and training models directly on a table.
|
|
</Card>
|
|
</CardGroup>
|
|
|
|
## The features these use {#read-the-docs}
|
|
|
|
| Feature | What it covers |
|
|
|:--------|:------------|
|
|
| [Vector search](/search/vector-search) | Similarity search, distance metrics, and tuning it. |
|
|
| [Full-text search](/search/full-text-search) | Keyword search over text columns. |
|
|
| [Hybrid search](/search/hybrid-search) | Keyword and vector search combined. |
|
|
| [Multi-vector search](/search/vector-search) | Several embeddings per document. |
|
|
| [Reranking](/reranking) | Reordering results to improve the top-k. |
|
|
| [Feature engineering](/feature-engineering) | Deriving columns and tables from data already stored. |
|
|
| [Materialized views](/management/materialized-view) | A table defined by a query, refreshed incrementally. |
|
|
| [Training](/training) | Reading a table into a data loader. |
|