AI built a full Kanban board in 60 seconds
Asked an AI agent to build a drag-and-drop Kanban board with localStorage persistence and dark mode. Had working HTML in under a minute — faster than installing a project management tool.
34 real-world examples of AI agents used for rag. Every case includes the tech stack, source link, and author. No fluff — just what people actually built and shipped.
Asked an AI agent to build a drag-and-drop Kanban board with localStorage persistence and dark mode. Had working HTML in under a minute — faster than installing a project management tool.
GPT Researcher is an AI-powered autonomous agent designed for efficient and unbiased online research, generating detailed reports by leveraging recent
AIFS offers a simple and efficient local semantic search capability for folders, leveraging Unstructured.IO for advanced data processing and ChromaDB
Cal.ai is an open-source AI scheduling assistant that manages email communications for booking, rearranging, and inquiring about meetings, leveraging
Shows how to construct multi-agent systems by leveraging a pre-defined agent library.
A versatile answer engine leveraging Groq, Mistral AI, Langchain.JS, Brave Search, Serper API, and OpenAI to deliver efficient and sophisticated respo
The AI Researcher is an AI agent leveraging Claude 3 and SERPAPI for in-depth topic research, refining subtopic analyses into a comprehensive report,
Implement a Corrective RAG system that evaluates and refines retrieved documents before passing them to the generator, ensuring higher-quality outputs
Learn to build an Agentic RAG system where an agent determines the best retrieval strategy before generating a response, improving the relevance and a
Learn to implement Self-RAG, where the system reflects on its responses and retrieves additional information if necessary, enhancing the accuracy and
an open source RAG evaluation framework that does not require golden answers, and can be used to evaluate performance of RAG tools connected to an AI
This tutorial demonstrates how to build an Adaptive RAG system using LangGraph. It guides you through creating a dynamic retrieval process that adjust
This tutorial focuses on building a Corrective RAG system using local resources, allowing for offline document evaluation and refinement processes.
This tutorial demonstrates how to implement Self-RAG using local models and data sources, enabling offline reflection and retrieval processes.
This tutorial focuses on implementing Adaptive RAG with local models, allowing for offline retrieval and generation, which is crucial for environments
This tutorial extends Agentic RAG to local environments, enabling the use of local models and data sources for retrieval and generation tasks.
Leverages GPT-4V for visual and conversational interactions in multimodal agents.
Praison AI is a low-code, centralized framework leveraging AutoGen and CrewAI to simplify creating and orchestrating multi-agent systems for LLM appli
Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.
Superagent is an open-source AI assistant framework backed by Y Combinator, facilitating the integration of large language models (LLM) and generative
Open-source production-ready RAG platform with built-in agentic reasoning, hybrid search, and multimodal support.
Claude Engineer is an interactive command-line interface (CLI) that leverages the power of Anthropic's Claude-3.5-Sonnet model to assist with software
LiteLLM has added support for the OpenAI Assistants API, enabling seamless integration of stateful operations and automatic RAG pipelines into existin
SuperAGI is an open-source framework facilitating the development, management, and operation of useful Autonomous AI Agents with a variety of features
Flowise simplifies the creation of applications leveraging large language models (LLMs) by providing a drag-and-drop interface for customizing AI work
Google Cloud Speech-to-Text is a comprehensive speech recognition service that leverages Google's years of research in automatic speech recognition an
Enables group chat with Retrieval Augmented Generation (RAG) to support information sharing.
Leverages Langchain tools for task-solving within AutoGen.
Rodrigo's Founder Agent Squad leverages OpenClaw to create specialized AI agents for efficient startup operations.
Claude Cowork automates high-effort, low-cognition tasks: organizing unstructured files, extracting data from screenshots, and generating clean documents from fragmented notes.
Build a searchable knowledge base by dropping URLs, tweets, and articles into chat.
Claude Flow deploys intelligent multi-agent swarms with distributed coordination, RAG integration, and autonomous workflows via MCP protocol.
Step-by-step research report generation over docs.
Best AI agent use cases, weekly.