Multi-Agent-RAG provides a modular framework for constructing retrieval-augmented generation (RAG) applications by orchestrating multiple specialized AI agents. Developers configure individual agents: a retrieval agent connects to vector stores to fetch relevant documents; a reasoning agent performs chain-of-thought analysis; and a generation agent synthesizes final responses using large language models. The framework supports plugin extensions, configurable prompts, and comprehensive logging, enabling seamless integration with popular LLM APIs and vector databases to improve RAG accuracy, scalability, and development efficiency.

Questflow Labs is a decentralized AI agentic workflow network designed to automatically manage and execute various tasks using autonomous AI agents. The platform allows users to connect different AI agents, models, and applications, like ChatGPT, to optimize workflows and increase productivity. This orchestration of multi-agents makes it possible to automate routine tasks, enabling users to focus on more strategic activities. By leveraging a decentralized network, Questflow ensures high reliability and scalability, making it an ideal solution for modern teams aiming to maximize efficiency through automation.