Welcome to Ragify
Learn what Ragify is, explore its visual pipeline builder, and find the right place to begin.
Ragify is a visual environment for designing Retrieval-Augmented Generation (RAG) pipelines. Instead of reasoning about every connection from separate configuration files, you can arrange processing, retrieval, and generation components on a canvas and inspect how they fit together.
The current Ragify frontend is focused on pipeline design. It offers node insertion and configuration, graph validation, guided onboarding, and starting templates. It also includes workspace screens for Documents, Runs, and API Access, but those screens do not represent a connected backend.
Where to start #
- Build your first pipeline: Open the Basic RAG template, inspect its nodes, and validate the graph. Read Build your first RAG pipeline.
- Explore the visual editor: Learn to add nodes, make connections, and configure each stage. Read Understand the pipeline editor.
- Find a node: Browse descriptions of all ten registered node types. Read Node reference.
- Understand the limitations: Learn which controls are interactive and which show previews of future services. Read Product availability.
What you can design #
A typical starting pipeline contains Document Loader, Chunker, Embedder, Vector Store, Retriever, LLM, and Answer / Output. The Hybrid Search template adds a Hybrid Retriever and a Reranker in place of the standard retrieval stage.
Before you continue #
Graph validity means the editor has accepted the structure and configuration it can inspect. It does not mean that documents have been ingested, a model has run, or a query endpoint has been deployed.