The data foundations that make AI work. Data quality, governance, architecture, pipelines, and the GenAI shift from training to retrieval. Most AI failures are data failures — learn the patterns and prevent them.
...embedded, the vector database finds the most similar chunks, and those chunks get injected into the LLM's context before it generates a response. RAG solves the two biggest GenAI problems simultaneously: knowledge...