R2R (RAG to Riches) is an advanced AI retrieval system with multimodal ingestion, hybrid search, knowledge graphs, and agentic reasoning for production RAG.
R2R (RAG to Riches) is an advanced AI retrieval system with multimodal ingestion, hybrid search, knowledge graphs, and agentic reasoning for production RAG.
You might also be interested in these tools
ComfyUI is a powerful node-based UI for Stable Diffusion and generative image workflows, allowing complex custom pipelines through visual graphing. Extensible for AI image and multi-modal development.
Flowise is a low-code/no-code platform for building LLM apps using drag-and-drop interfaces. It simplifies creating chains, agents, and RAG systems without deep coding.
Langflow is a visual framework for building multi-agent and RAG applications with LangChain components. It offers a drag-and-drop interface for prototyping and deploying LLM workflows.
Lobe Chat is an open-source modern AI chat framework with plugin ecosystem, supporting multiple models and customizable agents. It provides a beautiful UI for personal and team use.