cosine-similarity

Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.

Vector Storage is a vector database that enables semantic similarity searches on text documents in the browser's local storage. It uses OpenAI embeddings to convert documents into vectors and allows searching for similar documents based on cosine similarity.

Coltt is a vector database that supports Multi-Vector Search, high-performance HNSW, FLAT and quantization, and enables fast searches through sophisticated internal data shard design.

Fast similarity search using DuckDB

A perfume recommendation system

.NET library for local embedding generation using ONNX and Microsoft.Extensions.AI

Content based recommender system for books using NLP.

An application that enable the users to upload PDF files and ask questions regarding their content using Retrieval Augmented Generation (RAG)

🤖 AI-powered CLI for file reorganization. Runs fully locally — no data leaves your machine.

Embeddable vector database for Rust and Python. HNSW indexing, metadata filtering, hybrid search, and snapshots. The SQLite of vector search.

High-performance database management system

A lock-free, in-memory fuzzy search engine for Kotlin Multiplatform. L2-normalized sparse vector embeddings with O(1) cosine similarity — handles typos, transpositions, and blind continuation. Zero-allocation search via primitive arrays, reactive StateFlow results, and instant cold-start via JSONL import/export.