Similarity Packages

Finds degree of similarity between strings, based on Dice's Coefficient, which is mostly better than Levenshtein distance.

Color a given set of N strings into a set of M<N color classes

Modded version of string-similarity.

A React hook that allows you to use similarity search in a react-select component

React Hook for [`indexed-vector-store`](https://github.com/danielivanovz/indexed-vector-store) package. Used for [demo](https://github.com/danielivanovz/indexed-vector-store-demo) and deployed at my [website](https://app.danielivanov.me/vector-database/).

Lightweight Cosine Similarity Function. Built as an alternative to the compute-cosine-similarity package. Works with high dimension vectors like openAI embeddings

A lightweight and efficient vector database for storing and searching text embeddings in the browser's local storage. The package uses OpenAI's API to generate embeddings for text documents and provides functionality for similarity search, filtering, and

A lightweight and efficient vector database for storing and searching text embeddings in the browser's local storage. The package uses OpenAI's API to generate embeddings for text documents and provides functionality for similarity search, filtering, and

Text diff algorithm based on 'An O(NP) Sequence Comparison Algorithm' from Sun Wu, Udi Manber and Gene Myers

Document classification using tesseract.js and string-similarity-js.

Compare two string/text and find their similarity

Express middleware to correct typos in URLs via string similarity algorithms

A lightweight and efficient vector database for storing and searching text embeddings in the browser's local storage. The package uses OpenAI's API or Transformer.js models to generate embeddings for text documents and provides functionality for similarit

Identify nearly identical color variables in SCSS files.

[](https://github.com/andrefs/punuy-datasets/actions/workflows/node.js.yml)

Semantically create chunks from large texts. Useful for workflows involving large language models (LLMs).

A TypeScript SDK for embedding generation

A blazing-fast semantic search React component. Match by meaning, not just by letters. Search as you type without waiting (no debounce needed). Rank by cosine similarity.

A lightweight and efficient vector database for storing and searching text embeddings in the browser's local storage. The package supports multiple Embedding providers (OpenAI, Ollama and HuggingFace Transformers) to generate embeddings for text documents

[](https://www.npmjs.com/package/nested-fuzzy-search) [](https://opensource.org/licenses/MIT)