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AI Models
A Custom RAG System Grounded in 100k Documents
We built a retrieval-augmented generation pipeline that lets Veridian query its entire document corpus with citations, deployed on their own infrastructure for data privacy.
AI ModelsSoftware DevelopmentData Analysis
Results
The numbers that matter
94%
Query Accuracy
<2s
Response Time
100k+
Documents Indexed
8 weeks
Build Time
Approach
How we got there
A high-level view of the strategy and execution behind this engagement.
- Deep audit of current performance, constraints, and opportunities.
- Data-driven strategy aligned to business outcomes and timelines.
- Cross-functional execution across design, engineering, and marketing.
- Continuous measurement and iteration to compound results.
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