AmberLive
AmberLive is a Self-Updating Knowledge Base Services Agent that provides a managed, continuously refreshed knowledge runtime for Retrieval-Augmented Generation (RAG). It automatically ingests, validates, governs, and indexes live enterprise information so AI systems produce accurate, current, and trustworthy responses—without manual document uploads or disruptive rebuilds.
What AmberLive Does?
Knowledge that stays current—automatically
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The agent:
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continuously ingests approved enterprise sources
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detects and processes only meaningful changes
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refreshes retrieval indexes without disruption
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governs what information is made available to AI
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maintains operational control as scale increases
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The result is a RAG foundation designed for long-term accuracy and stability.
Updating the Model
AmberLive supports multiple update strategies, configurable by leadership and administrators
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continuous updates for time-sensitive knowledge
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scheduled updates for predictable governance
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batch updates for cost-optimized processing
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low-usage window updates to protect peak operations
Benefits
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sustained confidence in AI outputs
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reduced operational overhead
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lower risk from outdated or misaligned knowledge
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a scalable foundation for enterprise AI growth
