# Vettore v0.3.2 - Table of Contents

> Adaptive vector search for Elixir with ETS storage and native acceleration

## Pages

- [Vettore](readme.md)
- [Changelog](changelog.md)
- [LICENSE](license.md)

## Modules

- [Vettore](Vettore.md): Vettore public API.
- [Vettore.Collection](Vettore.Collection.md): Collection module for managing vector embeddings.
- [Vettore.DB](Vettore.DB.md): Compatibility database handle returned by `Vettore.new/0`.
- [Vettore.Distance](Vettore.Distance.md): Independent distance, similarity, normalization, and reranking helpers.
- [Vettore.Embedding](Vettore.Embedding.md): Represents a single embedding entry for insertion into a collection.
- [Vettore.Encoding.Muvera](Vettore.Encoding.Muvera.md): MUVERA-style fixed dimensional encodings for multi-vector retrieval.
- [Vettore.Index](Vettore.Index.md): Search index behaviour.
- [Vettore.Index.Flat](Vettore.Index.Flat.md): Native exact flat-scan index over mirrored ids and vectors.
- [Vettore.Index.HNSW](Vettore.Index.HNSW.md): Native HNSW index boundary.
- [Vettore.MultiVector](Vettore.MultiVector.md): Multi-vector scoring helpers.

- [Vettore.Result](Vettore.Result.md): Search result with explicit score and metric semantics.

- [Vettore.Store](Vettore.Store.md): Storage behaviour for Vettore collections.
- [Vettore.Store.ETS](Vettore.Store.ETS.md): ETS-backed canonical store for Vettore collections.

