BitMagic Library

Numerical computation in native Haskell

A demonstration of hybrid search with reranking using Qdrant and BGE-M3 model. A showcase of dense and sparse retrieval combined with ColBERT reranking for optimal search results

Sparse vectors.

Sparse and dense vectors for use in high dimensional vector spaces

Project-aware collection management based on Qdrant, including a Rust MCP, daemon and CLI: hybrid semantic, pattern and full-text (FTS5) search into single or cross-concerns collection. Dedicated collections for knowledge library, LLM behavioral rules, and an LLM scratchpad

Graduation Project - Sentiment Mining

Parameter-free lossless compression and retrieval for sparse high-dimensional vectors, on commodity CPUs (DRF codec).

Small collection of data structures for performing common mathematical operations in scientific computing.

A simple fast sparse vectors module based on defaultdict(float)

Build a complete recommendation system using Qdrant’s Universal Query API with dense, sparse, and ColBERT multivectors in one request.

Source content for Vstorm blog posts—carefully crafted to provide both depth and clarity, with practical insights readers can apply immediately.

Linear Algebra classes for Pharo