This RAG (Retrieval-Augmented Generation) project is implemented using pure Java. This approach makes it easier to adapt to enterprise-level environments and is more conducive to secondary development.
Elixir implementation of a LangChain style framework that lets Elixir projects integrate with and leverage LLMs.
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
Design patterns implemented in Java
Spring Boot helps you to create Spring-powered, production-grade applications and services with absolute minimum fuss.
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Make websites accessible for AI agents
? Lobe Chat - an open-source, modern-design AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / DeepSeek / Qwen), Knowledge Base (file upload / knowledge management / RAG ), Multi-Modals (Plugins/Artifacts) and Thinking. One-click FREE deployment of your private ChatGPT/ Claude / DeepSeek application.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
? The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
