vector-database

MSVBASE is a system that efficiently supports complex queries of both approximate similarity search and relational operators. It integrates high-dimensional vector indices into PostgreSQL, a relational database to facilitate complex approximate similarity queries.

Official Weaviate TypeScript Client

GenAI/RAG Optimizer and Toolkit for experimentation using Oracle Database AI Vector Search and NL2SQL

Selfhost modern LLM stacks. Run the whole fleet from your terminal

OasisDB: A minimal and lightweight vector database

Self-hostable RAG platform - document ingestion, embedding, and vector search behind a simple REST API

A decentralized vector database for building vector search applications

Samples about using vector in SQL Server and Azure SQL

World's fastest and most compact embedded vector database: exact by default, multimodal, local-first, and GPU-accelerated

Kyros — The Memory OS for AI Agents Give your AI agents secure, self-correcting, persistent memory in 3 lines of code. Three memory types (episodic, semantic, procedural) with built-in forgetting curves, cryptographic integrity, and automatic contradiction resolution. Model-agnostic REST API with Python and TypeScript SDKs.

Milvus management GUI

Vectorless, Reasoning-Based Retrieval-Augmented Generation (RAG)

chm to markdown and vectorDB

Official Java client for Qdrant

编程导航 2025 年 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、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。

Browse the top 10,000 packages on PyPI with the help of vector embeddings

CAN bus analyzing and simulation GUI tool for Windows.

From data to vector database effortlessly

A comprehensive toolkit for deploying production-ready Generative AI infrastructure on Amazon EKS. Includes pre-configured components for: 🚀 AI Gateway (LiteLLM) 🤖 LLM Serving (vLLM, SGLang, Ollama) 📊 Vector Databases, 🔍 Embedding Models (TEI) 📈 Observability (Langfuse, Phoenix) etc. Fast-track your GenAI deployment with Kubernetes

VQLite - Simple and Lightweight Vector Search Engine based on Google ScaNN