RAG (Retrieval-Augmented Generation)
An AI architecture pattern that enhances LLM responses by retrieving relevant documents from an external knowledge base before generating answers. Combines the reasoning power of language models with up-to-date, domain-specific information without retraining.
Deep Dive: RAG (Retrieval-Augmented Generation)
An AI architecture pattern that enhances LLM responses by retrieving relevant documents from an external knowledge base before generating answers. Combines the reasoning power of language models with up-to-date, domain-specific information without retraining.
Business Value & ROI
Why it matters for 2026
Applies state-of-the-art rag (retrieval-augmented generation) techniques that give organizations a 6-12 month competitive advantage.
Context Take
"We implement rag (retrieval-augmented generation) with deep expertise across Claude, GPT, and Gemini, selecting the optimal technology for each client's specific use case."
Implementation Details
- Tech Stackpineconelangchainpython
- Industry Focuslegalhealthcareenterprise
- Production-Ready Guardrails