The article examines why ontology is essential for enterprise knowledge bases, showing how it resolves ambiguities that RAG, knowledge graphs, and agents cannot handle alone, and outlines a four‑layer architecture that ensures stable IDs, relationship semantics, fact lifecycle, and safe action execution.
The article analyzes how multimodal Retrieval‑Augmented Generation expands retrieval objects beyond text chunks, why the "where to retrieve" problem is as critical as "what to retrieve" in enterprise knowledge bases, and how Google Gemini's File Search and recent industry research illustrate the shift toward verifiable, multimodal evidence.
This article introduces four popular open‑source projects—Varia, a unified download manager; GKD, an Android ad‑skipping tool; Paper2Video, which converts academic papers into presentation videos using AI; and WeKnora, Tencent's enterprise‑grade LLM‑powered knowledge‑base platform—providing brief overviews, installation steps, and key features.
This guide walks you through using Alibaba Cloud's PAI‑RAG platform to deploy a DeepSeek large‑language‑model assistant that combines real‑time web search with an enterprise knowledge‑base, covering deployment, network‑search configuration, testing, and advanced enterprise features.
This guide explains why a well‑structured, permission‑controlled enterprise knowledge base is essential for AI‑driven Q&A, outlines document format and naming standards, describes multi‑document organization principles, and provides step‑by‑step instructions for creating and managing knowledge bases in the Cloud Native environment.
