Get started

Use a Redis deployment with RediSearch vector commands enabled.

pnpm add @anvia/core @anvia/redis redis

import { RedisVectorStore } from '@anvia/redis'

const store = await RedisVectorStore.connect({
  client,
  indexName: 'support_docs',
  keyPrefix: 'knowledge:support:',
  vectorSize: 1536,
  createIfMissing: false,
})

await store.upsertDocuments(documents)
const index = store.index(embeddings)

Documents must already contain embeddings. Without an injected client, the adapter uses REDIS_URL or redis://localhost:6379 and connects automatically.

Next

• Collections and indexing
• Search and filters
• Production