glossdex 0.1.0

[miranpoor]

First public release.

• Indexing: local describers (Ollama vision and text models, or text-only), phrase parsing, whole-gloss and per-phrase embeddings (Ollama or sentence-transformers), and an incremental SQLite store.
• Search: blended multi-vector scoring with a rarity-weighted keyword-coverage boost, and the evidence-gated result set: noise floor, evidence gate, floor-anchored band, coverage-gap tightening and conditional padding. One strictness control.
• Threshold profiles for EmbeddingGemma-300M, one per kind of content: embeddinggemma-300m for glosses written by a model, and embeddinggemma-300m/passages for raw text indexed as written (band 0.90, evidence gate 0.52, minimum 1 result), selected automatically with the text-only describer.
• Glossdex.context() for retrieval-augmented generation that can return "not found".
• CLI (index, search, explain, serve, doctor) and a local web UI with a step-by-step explanation and a fixed top-k comparison.
• Benchmark on three public BEIR collections (SciFact, NFCorpus, FiQA) against dense, BM25 and hybrid search at fixed cutoffs, a similarity threshold and Adaptive-k, with scripts and results in benchmarks/beir/. Every setting is chosen on development collections and frozen.

The result-set determination is the subject of U.S. Provisional Patent Application No. 64/172,444 (patent pending); see PATENTS.md.

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This discussion was created from the release glossdex 0.1.0.