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Updated readme [skip ci]
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## Scaling
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Scale vertically by increasing memory, CPU, and storage on a single instance. Use existing tools to [tune parameters](#tuning) and [monitor performance](#monitoring).
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For a smaller working set:
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1. Use the `halfvec` type instead of `vector` for tables
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2. Use [binary quantization](#binary-quantization) for indexes (with re-ranking for search)
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Scale vertically by increasing memory, CPU, and storage on a single instance. Use existing tools to [tune parameters](#tuning) and [monitor performance](#monitoring).
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Scale horizontally with [replicas](https://www.postgresql.org/docs/current/hot-standby.html), or use [Citus](https://github.com/citusdata/citus) or another approach for sharding ([example](https://github.com/pgvector/pgvector-python/blob/master/examples/citus/example.py)).
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## Monitoring
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