Get started

pnpm add @anvia/core @anvia/lancedb @lancedb/lancedb

import { LanceDBVectorStore } from '@anvia/lancedb'

const store = await LanceDBVectorStore.connect({
  uri: 'data/lancedb',
  tableName: 'support_docs',
  vectorSize: 1536,
})

await store.upsertDocuments(documents)

const results = await store.index(embeddings).search({
  query: 'reset a password',
  topK: 5,
})

Documents must already contain embeddings. The default URI is ~/.anvia/lancedb; use an explicit durable URI or injected connection in deployed services.

Despite the method name, this adapter writes with LanceDB table.add(). Design refresh and deletion workflows before re-ingesting the same corpus.

Next

• Collections and indexing
• Search and filters
• Production