Build Cheaper, Safer, Auditable AI with SLMs and RAG

Enterprises struggling with costly, unpredictable large language models are finding a practical alternative by combining small language models with retrieval-augmented generation in modular agent architectures. These lightweight systems use specialized agents that each handle specific tasks like compliance or customer service, running efficiently on CPUs while grounding responses in real-time data sources for better accuracy and auditability.