Data Engineering

The Disruption of Naive RAG & Enterprise GraphRAG Era

📖 Bản tiếng Việt (Vietnamese Edition) Prerequisite: Review the previous module in the ai-data-engineering-pipeline series before proceeding. Executive Summary: The Disruption of Naive RAG and the GraphRAG Era Answer-first: Naive RAG collapses in enterprise environments due to relational blindness, unstructured document chunk destruction, and lack of fine-grained access control. Modern AI architectures combine Knowledge Graphs with vector search (GraphRAG) and event-driven data ingestion to deliver 100% data freshness, 38% higher retrieval precision, and deterministic row-level security. Establishing a Zero-Copy Vector Lakehouse backed by LanceDB and Apache Iceberg v3 delivers sub-50ms retrieval latencies and strict document-level RBAC enforcement while eliminating costly vector database silos. ...

Part 2: SFT Data Engineering — NEFTune & Synthetic Data Curation

← Previous Chapter: Part 1: Hybrid AI Architecture | Series Hub | Next Chapter: Part 3: QLoRA & Axolotl Fine-Tuning → Prerequisite: Read Part 1: Hybrid AI Architecture & Self-Hosting vLLM for inference routing and self-hosted gateway topology. Answer-first: Supervised Fine-Tuning data engineering dictates 90% of SLM performance. Following the LIMA paradigm, 3,500 curated instruction samples outperform 100,000 noisy scraped records. Injecting uniform embedding noise via NEFTune provides an 18.4% AlpacaEval gain against rote memorization, while SemDeDup clustering eliminates 45% semantic redundancy without accuracy loss, cutting GPU training hours by 50%. ...

Enterprise AI Data Pipeline & GraphRAG Architecture (2027 SOTA)

📖 Bản tiếng Việt (Vietnamese Edition) Answer-first: The Enterprise AI Data Pipeline & GraphRAG Architecture (2027 SOTA) Masterclass provides a complete engineering blueprint for building resilient, low-latency, and hallucination-resistant knowledge engines. By converging Hierarchical GraphRAG, Zero-Copy Vector Lakehouses (Apache Iceberg v3 + LanceDB), ColPali visual document retrieval, and streaming Change Data Capture (CDC), enterprises eliminate relational blindness, reduce cloud storage costs by 62%, and achieve sub-50ms retrieval latencies under zero-trust governance. ...