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a vector similarity search engine in WASM
High-performance vector database with HNSW indexing - 50k+ inserts/sec, built in Rust for AI/ML similarity search and semantic search applications
SQLite vector search extension for Node.js - Cross-platform vector embeddings and similarity search
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
Neural Vector Database for efficient similarity search
High-performance Node.js native bindings for Facebook FAISS - the fastest vector similarity search library. Supports FLAT_L2, IVF_FLAT, and HNSW index types with async operations, persistence, and batch search. Works on macOS, Linux, and Windows (via WSL2
n8n community node for embedded vector database - perform similarity search directly within n8n without external servers
Local, cost-free vector store for text embeddings and similarity search (soon) in-browser and Node.js.
HIPAA-compliant clinical decision support plugin with patient similarity search, drug interaction detection, and clinical pathway recommendations using RuVector WASM packages.
The `@orion-js/vectors` module provides a provider-agnostic interface for vector storage and similarity search, with built-in support for local file-system storage and AWS S3 Vectors.
SQLite Wasm with sqlite-vec extension for vector similarity search, conveniently wrapped as an ES Module.
LingoSearch : NodeJS Similarity Search-Engine
LingoSearch : NodeJS Similarity Search-Engine
Computes the cosine similarity between two arrays.
TF-IDF similarity search for codebase files. Index a workspace and find related files using cosine similarity.
High-performance vector database with HNSW indexing - 50k+ inserts/sec, built in Rust for AI/ML similarity search and semantic search applications
Lightweight In-Memory Vector Database for Fast Similarity Search
TypeScript definitions for string-similarity
🔍 Vector storage implementation based on LanceDB. Manages vector embeddings and provides fast semantic search via similarity search. LanceDB is embedded (no server required), supports millions of vectors, and can also work on S3.
A library implementing different string similarity