v0.1.0 research prototype

v0.1.0 research prototype

This release packages the current me_fasttext prototype as a citable research
artifact for readers of the accompanying arXiv paper.

Included

• FastText-compatible C++ training and inference commands.
• Exact trie-based word and character n-gram ids.
• Prefix/suffix n-gram row sharing with cosine-similarity checks.
• Mark-compact export into a single mmap serving index (<output>.z).
• Helper tools for compact-index generation and n-gram inspection.
• Benchmark protocol and benchmark issue template for external reports.
• Evaluator quickstart for turning a first clone into a useful benchmark report.
• bench_ftindex for compact .z retrieval/OOV serving measurements.
• Retrieval comparison matrix for FastText, BM25, dense embedding, reranker,
  and vector-search comparisons.
• Artifact card for quick citation, benchmark, and list-maintainer triage.
• Citation metadata for GitHub and reference managers.

Intended use

Use this release as a starting point for memory-sensitive FastText-style
embedding experiments, large-vocabulary lexical retrieval, OOV-heavy text
features, and mmap serving investigations.

This is not presented as a drop-in replacement for transformer embedding models
or a complete RAG framework. It is a compact lexical memory layer that can be
used alongside modern retrieval and reranking systems.

Positioning updates

For readers approaching the project from efficient inference, FastText, word
embeddings, double-array tries, retrieval systems, or memory-management
backgrounds, see:

• Compact inference note: https://github.com/initial-d/me_fasttext/blob/main/docs/inference_optimization_note.md
• Evaluator quickstart: https://github.com/initial-d/me_fasttext/blob/main/docs/evaluator_quickstart.md
• Cross-community positioning: https://github.com/initial-d/me_fasttext/blob/main/docs/cross_community_positioning.md
• Artifact card: https://github.com/initial-d/me_fasttext/blob/main/docs/artifact_card.md
• Retrieval and OOV serving benchmark: https://github.com/initial-d/me_fasttext/blob/main/docs/retrieval_oov_benchmark.md
• Retrieval comparison matrix: https://github.com/initial-d/me_fasttext/blob/main/docs/retrieval_comparison_matrix.md

Notes

• Linux is the tested target.
• Rebuild binaries on the target machine before production use.
• Compression and latency depend on corpus, vocabulary, n-gram settings,
  hardware, filesystem, and OS page-cache behavior.