SAS Retrieval Agent Manager
SAS Retrieval Agent Manager makes it easy to get fast, accurate and context-aware GenAI responses from unstructured enterprise data. Built on the Retrieval Augmented Generation (RAG) framework, it simplifies a traditionally complex architecture so you can scale AI adoption without losing flexibility or precision. Quickly unlock enterprise knowledge, reduce manual data extraction and overcome the common limitations of standard RAG implementations.
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Accelerate time to value & make faster decisions
Our no-code interface with optimized AI performance delivers precise, context-rich answers. Chatbots and virtual assistants using RAG improve response relevance, leading to a 35% boost in customer satisfaction.
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Enhance trust in AI outcomes with verified grounding, human oversight & built-in evaluation
Improve content accuracy by up to 40% compared with traditional AI models, reduce SME escalations and ensure transparency with citation-backed responses, human oversight, and robust security and governance.
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Scale efficiently & cost-effectively with flexible AI
Efficiently scale AI across use cases with flexible integrations and plug-and-play LLMs and databases, avoiding vendor lock-in and supporting broad data compatibility. Support for multiple LLMs, vector database and API integrations reduces integration efforts without re-architecture.
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Automate decisions with autonomous agents
Automate complex workflows with intelligent, goal-driven agents that seamlessly integrate and collaborate to boost productivity, reducing research time by 50% in enterprise applications.
Key features
Empowering you to unlock knowledge value securely and efficiently.
Intuitive no-code experience
Empowers nontechnical users with a no-code interface to build and manage workflows, with support for diverse document types, multilingual OCR and usage monitoring.
Trustworthy & transparent AI
Delivers citation-backed, source-grounded responses with built-in evaluation and human-in-the-loop oversight to ensure transparency, traceability and trust
Modular, plug-and-play architecture
Supports multiple third-party LLMs and vector databases with no vendor lock-in, and includes native integration with file systems and Git for seamless enterprise onboarding.
High-performance & enterprise-ready integration
Delivers fast, efficient AI through model acceleration techniques and offers seamless integration into enterprise systems via robust APIs and secure, scalable deployment.
Autonomous agent orchestration
Supports orchestration of agents that retrieve, reason and act across systems – automating complex, high-value agentic AI workflows with precision, integration and parallel execution.
Flexible deployment options
Provides robust support for on-premises deployments, giving you full control over your data with easy extension to cloud or hybrid environments.