Production RAG on Azure Databricks — Chunking, Embedding, Vector Search, and Grounding with Unity Catalog (2026)
In 2026, enterprise AI systems increasingly rely on RAG (Retrieval‑Augmented Generation) to ground large language models (LLMs) in real organizational data. Azure Databricks offers a unified platform where you can design scalable, secure RAG pipelines using Databricks Vector Search, Delta Lake, Unity Catalog, and managed embedding models. This article presents a structured, production‑ready...
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