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327 matching repositories.
5,477 indexed in total. Latest successful discovery check: 2026-11-08 09:40:22 UTC.
A fast, multi-threaded Redis® and Valkey alternative written in Rust: drop-in compatible, with full-text and vector search built in
cachedatabasedragonfly-alternativedrop-in-replacementfull-text-searchhigh-performancein-memoryio-uring
Source: GitHub repository metadata.
A query builder for PostgreSQL, MySQL, CockroachDB, SQL Server, SQLite3 and Oracle, designed to be flexible, portable, and fun to use.
javascriptknexmysqlpostgresqlsqlsqlite3
Source: GitHub repository metadata.
KurrentDB is a database that's engineered for modern software applications and event-driven architectures. Its event-native design simplifies data modeling and preserves data integrity while the integrated streaming engine solves distributed messaging challenges and ensures data consistency.
cqrsdatabaseevent-sourcingevent-storeeventsourcingeventstore
Source: GitHub repository metadata.
Pokémon Save File Editor
class-libraryconvertercsharpdatabasenintendo-hackingpkhexpokemonsave-editor
Source: GitHub repository metadata.
A type-safe TypeScript SQL query builder
browserbundatabasedenomicrosoft-sql-servermssqlmysqlnodejs
Source: GitHub repository metadata.
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
approximate-nearest-neighbor-searchimage-searchnearest-neighbor-searchrecommender-systemsearch-enginesemantic-searchsimilarity-searchvector-database
Source: GitHub repository metadata.
Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs
agentsaideep-learningembeddingsfine-tuninggptgpt-4-visionlancedb
Source: GitHub repository metadata.
LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.
anthropicchatgptchromaembeddingsgeminigpthuggingfacejava
Source: GitHub repository metadata.
Leantime is a goals focused project management system for non-project managers. Building with ADHD, Autism, and dyslexia in mind.
agileasanacalendarclickupgantthacktoberfestjirakanban
Source: GitHub repository metadata.
👩💻👨💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
backendbashcheatsheetcheatsheetsdatabasedjangodockerfeathersjs
Source: GitHub repository metadata.
Automatically generates beautiful and easy-to-read ER diagrams from your database.
data-visualizationdatabasedatabase-schemadocumentationdocumentation-toolentity-relationship-diagramer-diagramerd
Source: GitHub repository metadata.
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
apiapi-restembeddingsfastapilangchainpgvectorpostgresqlpsql
Source: GitHub repository metadata.
NextPlaid, ColGREP: Multi-vector search, from database to coding agents.
agentic-ragcligrepmulti-vectorvector-database
Source: GitHub repository metadata.
VCP 部署在 AI 模型 API 与前端应用之间，是面向AGI OS开发和探索的工业级基建示范项目。通过统一指令协议、多层级持久化记忆、分布式插件引擎及多 Agent 协作框架，将原本“无状态、无记忆、无工具调用能力”的大语言模型，彻底改造成拥有永久自我意识、物理世界操作权及群体协作智能的完整智能体系统。
agent-frameworkai-agentai-assistantai-companioncontext-managementcontext-management-systemfunction-callingllm
Source: GitHub repository metadata.
Main Liquibase Source
continuous-deliverycontinuous-deploymentdatabasedatabase-administrationdatabase-managementdatabase-migrationsdb2devops
Source: GitHub repository metadata.
LiteDB - A .NET NoSQL Document Store in a single data file
databasedotnethacktoberfestlitedbnosql
Source: GitHub repository metadata.
2025 年 AI 编程助手实战项目（作者：程序员鱼皮），基于 Spring Boot 3.5 + Java 21 + LangChain4j + AI 构建智能编程学习与求职辅导机器人，覆盖 AI 大模型接入、LangChain4j 核心特性、流式对话、Prompt 工程、RAG 检索增强、向量数据库、Tool Calling 工具调用、MCP 模型上下文协议、Web 爬虫、安全防护、Vue.js 前端开发、SSE 服务端推送等企业级 AI 应用开发技术。帮助开发者掌握 AI 时代必备技能，熟悉 LangChain 框架，提升编程学习效率和求职竞争力，成为企业需要的 AI 全栈开发人才。
aiai-modelbackendfrontendjavalangchain4jmcprag
Source: GitHub repository metadata.
持续维护的企业面试题库网站，帮你拿到满意 offer！⭐️ 2026年最新Java面试题、前端面试题、AI大模型面试题、AI Agent面试题、RAG面试题、C++面试题、Go面试题、Python面试题、测试面试题、运维面试题、后端面试题、操作系统面试题、计算机网络面试题、Redis面试题、MySQL数据库面试题、算法面试题、Spring面试题、JVM面试题、Java并发面试题、Linux面试题、LLM面试题、Prompt工程面试题、系统设计面试题等1万多道高频程序员求职必备八股文。面试刷题就选面试鸭 💎 React 前端 + Node 后端 + 云开发全栈项目 by 程序员鱼皮
aiai-agentsalgorithmant-designbackendcppcssdatabase
Source: GitHub repository metadata.
编程导航 AI 开发实战新项目，基于 Spring Boot 3 + Java 21 + Spring AI 构建 AI 恋爱大师应用和 ReAct 模式自主规划智能体YuManus，覆盖 AI 大模型接入、Spring AI 核心特性、Prompt 工程和优化、RAG 检索增强、向量数据库、Tool Calling 工具调用、MCP 模型上下文协议、AI Agent 开发（Manas Java 实现）、Cursor AI 工具等核心知识。用一套教程将程序员必知必会的 AI 技术一网打尽，帮你成为 AI 时代企业的香饽饽，给你的简历和求职大幅增加竞争力。
aiai-modelbackendfrontendjavalangchain4jmcprag
Source: GitHub repository metadata.
A NodeJS RAG framework to easily work with LLMs and embeddings
aichatgptclaudecohereembeddingembeddingsgptgpt-4
Source: GitHub repository metadata.
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