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RunLLM is an AI-powered support platform designed to enhance technical and customer support by integrating documentation, code, and support interactions into a unified knowledge graph. It offers enterprise-grade capabilities to analyze and resolve complex support issues by understanding user questions, clarifying ambiguities, and scanning logs and telemetry data for precise answers. The platform supports the creation of customizable AI agents tailored to various team needs, such as support engineers specialized in code troubleshooting or sales copilots providing fast business responses.
The app combines search technology, fine-tuned large language models (LLMs), and knowledge graphs to deliver accurate, context-aware answers across multiple user interfaces including Slack, Zendesk, and documentation portals. It facilitates end-to-end support workflows by generating validated code snippets, updating documentation proactively, escalating issues smartly, and following up to ensure resolution. RunLLM is built for integration across existing support stacks and designed to scale support operations by reducing engineering workload and accelerating issue resolution times.
Key features include agentic reasoning for deep understanding and multi-step problem solving, multi-agent support allowing distinct tone and behavior per agent, and customizable workflows via a Python SDK to control agent responses and escalation rules. RunLLM enables organizations to unify their support knowledge base, distribute expert-level AI assistance widely, and improve overall support efficiency without compromising accuracy or trustworthiness.
This description was generated by AI (artificial intelligence). AI can make mistakes. Check important info.
Website: runllm.com
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