bitpolar 0.3.3

BitPolar: near-optimal vector quantization with zero training overhead — 3-bit precision, provably unbiased inner products (ICLR 2026)
Documentation
# Summary

[Introduction](./introduction.md)

# Getting Started

- [Installation]./getting-started/installation.md
- [Quick Start]./getting-started/quickstart.md
- [Parameter Selection]./getting-started/parameters.md

# Tutorials

- [Vector Search]./tutorials/vector-search.md
- [KV Cache Compression]./tutorials/kv-cache.md
- [Python ML Pipeline]./tutorials/python-pipeline.md
- [Browser-Side Search (WASM)]./tutorials/wasm-search.md

# How It Works

- [Architecture]./how-it-works/architecture.md
- [Polar Encoding (Stage 1)]./how-it-works/polar.md
- [QJL Sketching (Stage 2)]./how-it-works/qjl.md
- [Walsh-Hadamard Transform]./how-it-works/wht.md
- [Theoretical Guarantees]./how-it-works/theory.md

# Integration Guides

- [Qdrant]./integrations/qdrant.md
- [LangChain]./integrations/langchain.md
- [vLLM KV Cache]./integrations/vllm.md
- [PostgreSQL (pgvector)]./integrations/pgvector.md
- [HuggingFace]./integrations/huggingface.md
- [gRPC Service]./integrations/grpc.md

# Migration

- [From Product Quantization]./migration/from-pq.md
- [From Scalar Quantization]./migration/from-sq.md

# Reference

- [API Documentation]./reference/api.md
- [CLI Tool]./reference/cli.md
- [Compact Binary Format]./reference/format.md
- [Feature Flags]./reference/features.md
- [Benchmarks]./reference/benchmarks.md

# FAQ

- [Frequently Asked Questions]./faq.md