Problem: Conversations create huge amounts of data, and enterprises don’t have the tools to store, analyze, or use it.
Solution: The GSX Contextual Memory System automatically collects all of the unstructured data and makes it accessible to AI Agents.
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No. The GSX acts as an intelligent orchestration layer that connects to your existing data where it lives today. Whether your information is in legacy databases, cloud folders, or third-party apps, we make it “active” without a permanent migration.
Most systems “forget” a user once a session ends, but the GSX creates a persistent memory that spans weeks, months, or years. This allows your AI to pick up a conversation exactly where it left off, regardless of how much time has passed.
Standard search looks for keywords, but Graph RAG understands relationships. By mapping the connections between different data points across your business, your AI agents can provide more sophisticated and contextually accurate answers.
Through the GSX Canonical Knowledge Management system, we introduce lifecycle governance to your data. We assign “ownership” and “expiration dates” to information, ensuring that AI agents only retrieve validated, current facts.
Yes. Our Audit & Traceability features provide full “context lineage,” which is like a family tree for a decision. You can see exactly which document or database entry led the AI to a specific conclusion.
Lookup acts as a centralized conversational search engine for all your enterprise content. Instead of digging through multiple platforms, users can simply ask a question and receive a summarized answer pulled from various files and URLs.
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