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mall项目是一套电商系统，包括前台商城系统及后台管理系统，基于Spring Boot+MyBatis实现，采用Docker容器化部署。 前台商城系统包含首页门户、商品推荐、商品搜索、商品展示、购物车、订单流程、会员中心、客户服务、帮助中心等模块。 后台管理系统包含商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等模块。

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences

Open source observability platform for logs, metrics, traces, RUM (web, android, ios), Session replay, pipelines, SLO and LLM observability. A sophisticated, simple and highly performant alternative to Datadog, Splunk, and Elasticsearch with 140x lower storage costs and single binary deployment.

Your window into all of your data

The Elastic stack (ELK) powered by Docker and Compose.

MCP Toolbox for Databases is an open source MCP server for databases.

mall-swarm是一套微服务商城系统，采用了 Spring Cloud Alibaba、Spring Boot 3.5、Sa-Token、MyBatis、Elasticsearch、Docker、Kubernetes等核心技术，同时提供了基于Vue的管理后台方便快速搭建系统。mall-swarm在电商业务的基础集成了注册中心、配置中心、监控中心、网关等系统功能。

Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.

🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.

One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.

Data Agent Ready Warehouse : One for Analytics, Search, AI, Python Sandbox. — rebuilt from scratch. Unified architecture on your S3.

Your self hosted YouTube media server

NewsBlur is a personal news reader that brings people together to talk about the world. A new sound of an old instrument.

Go Open Source, Distributed, Simple and fastest efficient text/vector Search Engine

Fast Open-Source Search & Clustering engine × for Vectors & Arbitrary Objects × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍

ACID Document Database

Add a real-time analytics node to your operational database. Spice is a portable, accelerated SQL query, search, and LLM-inference engine in Rust for data-grounded AI apps and agents.

🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .

Fast and easy to use database for logs, which can efficiently handle terabytes of logs

🐳 Elastic Stack (ELK) v9+ on Docker with Compose. Pre-configured out of the box to enable Logging, Metrics, APM, Alerting, ML, and SIEM features. Up with a Single Command.

SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.

Diskover Community Edition - Open source file indexer, file search engine and data management and analytics powered by Elasticsearch

JVector: the most advanced embedded vector search engine

A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data, while meeting the requirements of high concurrency and ultra-low latency.

Collections of vector search related libraries, service and research papers

MemFree - Hybrid AI Search Engine & AI Page Generator

Endee.io – A high-performance vector database, designed to handle up to 1B vectors on a single node, delivering significant performance gains through optimized indexing and execution. Also available in the cloud at https://endee.io and under the Endee Enterprise license. Free 30-day evaluation: https://docs.endee.io/v2/quick-start/enterprise

A fast, multi-threaded Redis® and Valkey alternative written in Rust: drop-in compatible, with full-text and vector search built in

Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.

Transparent Python RAG reference with FAISS + BM25 hybrid retrieval, reranking, Gradio UI, and FastAPI.

RAG Time: A 5-week Learning Journey to Mastering RAG

Embeddable, in-memory, document-oriented database with a high-level Query builder interface.

Team IDE 集成MySql、Oracle、金仓、达梦、神通等数据库、SSH、FTP、Redis、Zookeeper、Kafka、Elasticsearch、Mongodb、小工具等管理工具

📊 电商数仓智能问数 AI Agent，最适合用于系统学习 LangGraph 的实战项目：基于 LangGraph、FastAPI、Qdrant、Elasticsearch、MySQL 与 React，完整实现元数据知识库、混合检索、自然语言生成 NL2SQL 生成校验、SQL 执行与流式查询展示。前后端完整代码全栈可跑，Docker 环境一键部署，配套 ai-agents-from-zero 免费教程与章节代码分支。适合系统学习大模型应用、数据分析 Agent 和企业级 AI 工程落地。

Local-first RAG server for developers. Semantic + keyword search for code and technical docs. Works with MCP or CLI. Fully private, zero setup.

The codebase for the book "AI-Powered Search" (Manning Publications, 2025) and associated "AI-Powered Search: Modern Retrieval for Humans & Agents" Maven course

A curated list of awesome works related to high dimensional structure/vector search & database

High-performance AI memory retrieval for local agent history — a Rust search core (SDK / API / JSON CLI) plus a desktop GUI. Tantivy + Jieba keyword search, optional semantic recall, stable Turn/Run/Session/Project IDs.