KBAISE/ for lovable
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LanceDB

Embedded multimodal vector DB

Free tier + paidSearch, vector & RAGlancedb.com

What it is

An embedded vector database built on the Lance columnar format — no server process, data sits as files on local disk or in S3. Does vector similarity, full-text search and SQL filtering over the same table, and stores raw bytes, images and video alongside embeddings. Python, TypeScript and Rust SDKs.

Why it earns a slot

Think SQLite for vectors: pip install lancedb, point it at a directory, done. Zero-copy automatic versioning lets you time-travel an index, and the same code scales to the cloud tier.

Know before you commit

Embedded mode has no multi-writer coordination — one writer at a time, or move to the managed tier. Cloud per-unit rates are behind a calculator rather than published.

Getting started

pip install lancedb

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Neighbourhood

How LanceDB sits against the rest of the atlas — swaps, companions and the tools builders actually save alongside it.

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