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Assistant
Advanced RAG
Sinequa’s advanced retrieval augmented generation gives your AI agents secure and instant access to your organization’s trusted internal knowledge for unmatched accuracy and enterprise-grade reliability.
Advanced Retrieval Augmented Generation (RAG) is an enterprise-grade approach that combines multiple retrieval methods—vector, keyword, graph, structured, and multimodal—to securely ground AI agents and assistants in trusted internal knowledge, ensuring accurate, auditable, and policy-compliant outputs.
Turn enterprise knowledge into your most valuable asset, to power employees, assistants, and agents with structured and unstructured information wherever it lives.
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Give every employee an AI Assistant that completes tasks and surfaces insights accurately – grounded in your internal knowledge.
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Agents without enterprise context can introduce risk. Ground agents in your company’s trusted knowledge, security, and governance so you can deploy confidently.
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Unlock the full potential of your enterprise intelligence by grounding your AI assistance and autonomous workflows with a direct, secure line to your internal knowledge. Sinequa ensures that every analysis, decision, and automated task is not just fast, but pinpoint-accurate and tailored to your unique organizational needs.
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Generic AI guesses; enterprise AI knows. By connecting your agents to a single source of truth, you prevent hallucinations and ensure every decision is backed by a clear audit trail. Achieve the accuracy your organization demands and the policy compliance your security team requires.
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Connect every asset, every document, and every expert resource across your enterprise. Sinequa transforms your fragmented information into an accessible, high-speed knowledge engine for employees and AI agents. No more digging—just instant access to the collective expertise of your entire organization.
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Enforce precise access controls and adherence to internal company policies. Sinequa ensures your enterprise information remains secure and private so you can deploy AI with the confidence that your data guardrails are always in place and always active.
Learn moreThe foundation of RAG and AI agents is retrieval. Retrieval drives the performance and success of AI because it provides access to the knowledge AI can use. A robust agentic RAG system will use all methods for retrieval to access all your company’s knowledge.
