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Storage and retrieval for embeddings: vector indexes, hybrid search and ANN libraries.
Signals: vector-database, vector-search, vector-store, similarity-search, approximate-nearest-neighbor, ann-search, faiss, hnsw
191 results
Top2Vec learns jointly embedded topic, document and word vectors.
Similar images search for PostgreSQL
Fast and lightweight header-only C++ library (with Python bindings) for approximate nearest neighbor search
Production-ready K-Means clustering for Apache Spark with pluggable Bregman divergences (KL, Itakura-Saito, L1, etc). 6 algorithms, 740 tests, cross-version persistence. Drop-in replacement for MLlib with mathematically correct distance functions for probability distributions, spectral data, and count data.
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Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.
一款简单好用的 跨平台/多语言的 相似向量/相似词/相似句 高性能检索引擎。欢迎star & fork。Build together! Power another !
All-pair set similarity search on millions of sets in Python and on a laptop
Blazing fast framework for fine-tuning similarity learning models
Similarities: a toolkit for similarity calculation and semantic search. 相似度计算、匹配搜索工具包，支持亿级数据文搜文、文搜图、图搜图，python3开发，开箱即用。
🔎 SimilaritySearchKit is a Swift package providing on-device text embeddings and semantic search functionality for iOS and macOS applications.
Web-optimized vector database (written in Rust).
Comprehensive Vector Data Tooling. The universal interface for all vector database, datasets and RAG platforms. Easily export, import, backup, re-embed (using any model) or access your vector data from any vector databases or repository.
Client Side Vector Database
🦉⚡️Serverless, distributed vector database as an API
Radient turns many data types (not just text) into vectors for similarity search, RAG, regression analysis, and more.
Admin UI for Chroma embedding database built with Next.js
EntityDB is an in-browser vector database wrapping indexedDB and Transformers.js over WebAssembly
A Modern GUI Interface for Vector Database Management(Supports MCP integration)
Lightweight Nearest Neighbors with Flexible Backends
Fast, SQL powered, in-process vector search for any language with an SQLite driver
📚 从零开始的向量数据库原理与实践教程，在线阅读地址：https://easy-vecdb.datawhale.cc/
An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.
Embedding Studio is a framework which allows you transform your Vector Database into a feature-rich Search Engine.
24,535 repositories in the index in total.
