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GGRAG
GGRAG
Overview
Overview
Investment decisions demand insights from research databases, client portfolios, market data, and regulatory updates, but this knowledge sits fragmented across legacy systems. Traditional search can't provide context. Generic AI hallucinates. Knowledge graphs need specialist skills to query.
GGRAG creates a unified intelligence layer across your entire data estate. Our knowledge graphs map verified relationships between data points, then constrain AI outputs against these authenticated connections, eliminating hallucinations at source.
Query in natural language. Get relationship-aware responses grounded in your verified data. Every claim traceable to source with full audit trails.
Applications:
Applications:
Research synthesis: Query historical exposures, sector correlations, and mandate constraints instantly
Client intelligence: Access consolidated preferences and portfolio histories during live conversations
Compliance: Regulatory updates flow through automatically. Full audit trails satisfy FCA 2024 AI requirements by design
Due diligence: Complex cross-database queries answered in seconds, not days
Security: All processing in your secure environment. Encrypted embeddings. No external AI services. No data leakage. IAM-based access controls.
Security: All processing in your secure environment. Encrypted embeddings. No external AI services. No data leakage. IAM-based access controls.
Performance: Sub-millisecond queries on 10M+ node graphs powered by TuringDB. Scales from department to enterprise. Self-improving through quality feedback loops.
Performance: Sub-millisecond queries on 10M+ node graphs powered by TuringDB. Scales from department to enterprise. Self-improving through quality feedback loops.
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