Build a Smart Knowledge Base with DeepSeek R1 and Alibaba Cloud Low‑Code

This tutorial guides you through creating an AI‑powered, customizable knowledge space by integrating DeepSeek R1 via Alibaba Cloud Bailei's Model‑as‑a‑Service with the low‑code Mobinext platform, covering setup, configuration, deployment, and future expansion for multi‑tenant use.

Alibaba Cloud Developer
Alibaba Cloud Developer
Alibaba Cloud Developer
Build a Smart Knowledge Base with DeepSeek R1 and Alibaba Cloud Low‑Code

Background

In the era of information overload, effective knowledge extraction, integration, and flexible application are essential for personal and organizational growth. An intelligent, AI‑driven knowledge base can store professional insights and provide precise answers, dramatically improving efficiency and decision‑making.

Why DeepSeek R1?

DeepSeek R1, a powerful inference‑type large language model, excels at understanding complex contexts and performing deep knowledge reasoning, enabling a new level of information retrieval, knowledge integration, and intelligent Q&A for knowledge‑base construction.

Challenges

Key challenges include organizing massive unstructured data, ensuring real‑time updates and accuracy, and allowing non‑technical users to build and use the system.

Solution Overview

By leveraging mature cloud computing and low‑code platforms, the tutorial demonstrates how to combine Alibaba Cloud Bailei’s capabilities with the Mobinext low‑code platform to quickly build a customizable, out‑of‑the‑box knowledge space.

Key Skills Acquired

Utilize Bailei’s Model‑as‑a‑Service to construct a Retrieval‑Augmented Generation (RAG) application based on DeepSeek R1.

Use Mobinext’s multi‑terminal low‑code platform to launch a highly customizable knowledge‑space app from a template.

Integrate Bailei services seamlessly via Mobinext’s visual configuration and resource connectors for end‑to‑end knowledge reasoning and dynamic knowledge‑base management.

Feature Overview

The built knowledge space supports:

Knowledge‑space homepage with mode switching and column selection.

Answer page displaying AI responses, with optional deep‑thinking mode and source document snippets.

Knowledge column page showing column summaries, document counts, and conversation counts.

Column detail page for querying and reviewing stored conversations.

Knowledge‑base detail page for managing uploaded documents.

Practical Tutorial

Steps include creating a RAG application in Bailei, selecting DeepSeek‑R1 as the base model, configuring knowledge‑base retrieval, enabling real‑time internet search, and publishing the application.

Resource Configuration

Obtain Bailei API‑KEY, application ID, and space ID, as well as Alibaba Cloud AK/SK for OpenAPI access.

Creating the Mobinext App

Import the “Personal Knowledge Base – Knowledge Tutor” template, fill in the API‑KEY, app ID, and AK/SK, and set the Bailei space ID in global variables.

Content Customization

Modify UI elements such as the homepage title to suit specific use cases (e.g., “Paper Writing Smart Tutor”).

Publishing

Configure anonymous access permissions, publish to a test environment, and access the live application via the provided link.

Future Extensions

Plans include domain preparation for production deployment, multi‑tenant isolation, user identity management, data persistence, personalized Q&A experiences, and integration with various authentication sources such as Alibaba Cloud accounts, DingTalk, and WeChat Work.

References

[1] Bailei model market [2] Alibaba Cloud AK/SK best practices [3] Create AccessKey guide [4] Mobinext template link [5] Mobinext permission settings [6] Production environment guide [7] Domain ICP filing guide

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AILLMRAGknowledge managementDeepSeekAlibaba Cloud
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