LLMGraph

LLMGraph is a no-code platform for creating large language model (LLM) workflows, with a focus on retrieval-augmented generation (RAG) applications and AI agents. It enables users to visually design workflows as graphs or describe them in plain English via chat, removing the need for coding or infrastructure management. The tool is positioned for building AI-powered solutions such as RAG APIs, support bots, and agents that can handle tasks like answering questions based on uploaded documents or knowledge bases.

Workflows in LLMGraph can be constructed either on a visual canvas or through conversational input, allowing flexibility in the design process. Users can integrate knowledge bases, such as uploading a PDF handbook, to ground responses in specific documents. Answers generated by the workflows can include citations that link back to their source pages, supporting transparency and traceability in responses. This is particularly useful for scenarios like customer support or internal help, where referencing the original information is important.

Deployment options for LLMGraph workflows include generating a REST API endpoint or an embeddable chat widget with a single click. This allows the same workflow to be used across multiple surfaces, such as customer support interfaces, internal tools, or directly within products. The REST API can be called from backends, applications, or continuous integration systems, while the chat widget can be embedded via an iframe for user-facing interactions.

LLMGraph offers a 14-day free trial with no upfront charge and the option to cancel at any time. It is designed for users who want to build and deploy AI workflows without writing code, making it accessible to a broad range of roles and organizations seeking to integrate LLM-based automation and support into their operations.