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Local, cost-free vector store for text embeddings and similarity search (soon) in-browser and Node.js.
A very fast implementation of cosine-similarity for comparing two vectors. Up to 6x faster than the compute-cosine-similarity library.
A simple library for compute cosine-similarity between two strings.
Helpers for working with vector embeddings
NodeJS library that semantically chunks text and matches it against a user query using cosine similarity for precise and relevant text retrieval
- semantic
- chunking
- text-chunking
- semantic-chunking
- semantic-analysis
- cosine-similarity
- text-similarity
- query-matching
- text-matching
- text-embedding
- natural-language-processing
- nlp
- information-retrieval
- nodejs
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Compute the cosine similarity of two vectors. Fully typed, 0 dependencies.
A collection of string comparisons algorithms
- javascript
- algorithms
- distance
- smith-waterman
- trigrams
- levenshtein-distance
- similarity-measures
- cosine-similarity
- string-distance
- jaccard-similarity
- jaro-winkler-distance
- damerau-distance
- hamming-distance
- string-comparison
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Prompt engineering text similarity matchers for Jest
Prompt engineering toolkit for Jest
A package for computing cosine similarities between two texts
A Node.js package to extract unique titles based on cosine similarity.