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Welcome to the HoloVec documentation.

Overview — What is HoloVec and why use it?

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Getting Started

• Installation — Install HoloVec with pip or uv
• Quick Start — Your first hypervectors in 5 minutes
• Core Concepts — Binding, bundling, permutation explained

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Architecture

• Architecture Overview — Layered design and module structure
• Backends — NumPy, PyTorch, JAX computational engines
• Spaces — Vector types: Bipolar, Complex, Binary, Sparse

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Models

• Models — Comparison table and selection guide

Model	Page	Best For
FHRR	Model-FHRR	General use, best capacity
GHRR	Model-GHRR	Non-commutative relations
MAP	Model-MAP	Hardware, neuromorphic
HRR	Model-HRR	Classic baseline
VTB	Model-VTB	Directional binding
BSC	Model-BSC	Binary, FPGA
BSDC	Model-BSDC	Memory efficient
BSDC-SEG	Model-BSDC-SEG	Fast sparse search

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Encoders

• Encoders Overview — Which encoder for which data type?
• Fractional Power — Continuous values with similarity preservation
• Thermometer & Level — Ordinal and categorical data
• Sequences — Position binding, N-grams, trajectories
• Spatial — Images and multi-dimensional vectors

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Retrieval & Memory

• Retrieval Overview — Codebook, ItemStore, AssocStore
• Cleanup Strategies — Brute force vs Resonator networks

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Guides

• Tutorials — Step-by-step examples
• Patterns — Common VSA patterns and recipes
• Performance — Backend selection and optimization
• Troubleshooting — Common issues and solutions

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Reference

• API Reference — Quick reference for all classes and methods
• Glossary — HDC/VSA terminology
• References — Academic papers and citations

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Links: GitHub | PyPI | Issues