bx-ai: RAG (Retrieval-Augmented Generation)

RAG enhances AI responses by grounding them in your own documents, reducing hallucinations and keeping answers current without model retraining.

RAG Workflow

Documents → Load → Chunk → Embed → Vector DB
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User Query → Embed → Vector Search → Retrieve → Inject into Context → AI

Quick Start: Complete RAG System