AmenRa/retriv
A Python Search Engine for Humans 🥸
Supports sparse (BM25/TF-IDF), dense (semantic), and hybrid retrieval modes, leveraging Numba for vectorized operations, Transformers for embedding generation, and Faiss for approximate nearest-neighbor search. Includes automatic tuning via Optuna for BM25 parameters and Faiss configuration, plus multi-language text preprocessing with configurable stemmers and tokenizers. Provides unified search interface across all retrieval types with batch processing capabilities for large-scale evaluation without memory constraints.
248 stars and 1,049 monthly downloads. Available on PyPI.
Stars
248
Forks
31
Language
Python
License
MIT
Category
Last pushed
Dec 18, 2025
Monthly downloads
1,049
Commits (30d)
0
Dependencies
19
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