A simple search and analyze engine
TF-IDF implementation for rfsee
Trainable, modular AI engine in Rust with compile-time knowledge
Implementation of an extractive text summarization system which uses TF-IDF scores of words present in the text to rank sentences and generate a summary
A blazingly fast MCP server for code intelligence - enumerates repos, data structures, algorithms, and returns relevant code context
Collection of algorithms for keyword extraction from text
AI-friendly, fully local, semantic code search tool for large codebases
Detect AI-generated slop text using machine learning.
Search inside text files using tf-idf formula, showing the most relevant search at the top
Self-evolving knowledge substrates through biological computing primitives
Deterministic extractive summarization — stdlib + regex only
Natural Language Toolkit for Rust
A TF-IDF in ruby - http://en.wikipedia.org/wiki/Tf–idf
Calculates the similarity between texts using tf*idf
Computes IDF for a specified term based on the corpus, or generates keywords ordered by tf-idf for a specified document.
Term Frequency - Inverse Document Frequency
Calculate the TF-IDF for terms in a CSV file
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