Ragwalla Agents: Agentic RAG Beyond Simple Retrieval

Ragwalla Agents extend the traditional Retrieval-Augmented Generation (RAG) model by incorporating agentic capabilities like tool execution, conversation memory, and real-time interaction. The system uses a WebSocket-based architecture to orchestrate five distinct tool types, including custom functions, API calls, and knowledge base lookups. This allows agents to perform complex, multi-step tasks that go beyond simple question-answering. The platform enables the creation of dynamic agents for use cases such as customer support, DevOps incident response, and financial analysis by combining data retrieval with actionable tool use.