Ecosystem & Stack: openai

GitDiagram transforms any GitHub repository into an interactive, AI-generated system design diagram, simplifying codebase understanding and exploration.

A modular framework built with LangGraph for developing advanced Agentic RAG systems, offering both learning materials and an extensible architecture.

A customizable AI chatbot template that ingests PDF documents, stores embeddings, and answers user queries using LLMs, orchestrated by LangChain and LangGraph.

A powerful application that transforms diverse unstructured data sources into structured Neo4j Knowledge Graphs using Large Language Models (LLMs) and LangChain.

A Kotlin-based multiplatform framework for building predictable, fault-tolerant, and enterprise-ready AI agents with idiomatic JVM/Kotlin APIs.

An AI-powered add-on for paperless-ngx that leverages LLMs and advanced OCR to automate document title, tag, correspondent, and custom field generation, streamlining digital document management.

A command-line tool and library that generates Infrastructure-as-Code, configurations, and utilities using large language models.

Learn to build a personalized AI assistant leveraging your 'Second Brain' knowledge base using advanced LLM, RAG, and agentic techniques with MLOps best practices.

An MCP plugin that provides AI coding agents like Claude Code with deep, cost-effective context from an entire codebase through semantic search.

Attu is a modern, AI-native management tool for Milvus vector databases, offering a comprehensive GUI for cluster management, data exploration, and AI-driven operations.

An all-in-one API platform for building intelligent search, recommendations, and RAG applications with advanced semantic capabilities.

A high-performance data engine for AI and multimodal workloads, processing diverse data types at scale with Python and Rust.

A superfast decision-making layer for LLMs and AI agents that routes requests based on semantic meaning, bypassing slow LLM generations.