# Usage

> Creating indexes, running similarity searches, monitoring, quantization, and compatibility in pgvecto.rs.

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LLMS index: [llms.txt](/llms.txt)

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Section pages:

- [Indexing](/docs/vectors/usage/indexing/): Indexing is the process of building a data structure that allows for efficient search. pgvecto.rs supports three indexing algorithms: brute force (flat), IVF, a
- [Search](/docs/vectors/usage/search/): Get the nearest 5 neighbors to a vector
- [Monitoring](/docs/vectors/usage/monitoring/): We provide a view pgvectorindexstat to monitor the progress of indexing.
- [Quantization](/docs/vectors/usage/quantization/): Quantization is a technique to reduce the memory consumption and computation complexity with the affordable decrease in precision. In the context of vector sear
- [`pgvector` compatibility](/docs/vectors/usage/compatibility/): pgvecto.rs is natively compatible with pgvector at: