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    Agentic workflows with DeepSeek & Open-Source Reasoning models on AWS

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    Agentic RAG powered by the multi-Agent framework helps enterprises implement intelligent, conversational support systems using open-source foundation models and AWS-native services. It utilizes a sophisticated multi-agent Retrieval Augmented Generation (RAG) architecture with Llama 3.3 and DeepSeek-R1 LLMs, providing a flexible, scalable, and cost-efficient alternative to proprietary customer support AI systems. The architecture is centred around a three-tier agent system: Orchestration Agents (Llama 3.3), Knowledge Base Agents (DeepSeek-R1), and Response Generation Agents (Llama 3.3), which collaborate to process customer inquiries, retrieve contextual information, and generate personalized responses.

    Overview

    Xenonstack’s Agentic RAG solution streamlines operations with a powerful multi-agent architecture built on open-source AI models and AWS. By combining DeepSeek-R1 for advanced reasoning with Llama 3.3 for orchestration and response generation, it delivers fast, accurate, and scalable support. The system automates resolutions, processes documents intelligently, and ensures consistent customer experiences across channels.

    The solution boosts customer satisfaction and operational efficiency while remaining cost-effective, scalable, and compliant. Its core components—multi-agent orchestration, a knowledge-aware reasoning engine, document processing pipelines, vector search, and seamless channel integration—enable automated support, complex query handling, and intelligent document understanding.

    Designed for enterprises with heavy support workloads, it reduces response times, eliminates repetitive tasks, and maintains context-rich conversations. It is especially impactful across financial services, healthcare, retail, telecom, and insurance, where accuracy, speed, and personalized interactions are critical.

    Highlights

    • Xenonstack provides enterprise-grade agentic workflows on AWS to build intelligent, context-aware support experiences using DeepSeek, Llama, and advanced RAG architecture with flexible channel integration.
    • We help organizations automate support operations with reasoning agents that handle inquiries, process documents, and maintain contextual conversations.
    • Our multi-agent system—leveraging Llama for orchestration and DeepSeek-R1 for reasoning—delivers faster, more accurate responses than single-model solutions.

    Details

    Delivery method

    Deployed on AWS
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