RAGintelligence-analysisLLM
RAG Pipelines for Intelligence Analysis: Beyond Keyword Search
Retrieval-augmented generation is reshaping how analysts query classified repositories. The architecture matters more than the model.
· 2 min read
Machine Intelligence for the Intelligence Mission
Procurement cycles, classification barriers, and workforce gaps are slowing AI adoption in the IC — and the gap with commercial development is widening.
LLM-powered agents with tool use can automate multi-source OSINT collection — but the agent loop architecture and hallucination risks demand careful design before they touch real collection.
ML models are automating satellite imagery analysis, change detection, and object classification — reshaping how GEOINT analysts work at scale.