A high-performance retrieval tool for accessing vectorized proprietary data hosted on Alibaba ModelStudio for AI agents.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install bailian-knowledge-retrieve
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install bailian-knowledge-retrieve using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Bailian KnowledgeBase Retrieve is a professional-grade tool designed for developers who need to connect AI agents to private, vectorized data repositories hosted on Alibaba Cloud's ModelStudio. By utilizing this skill within the Openclaw Skills ecosystem, agents can perform sophisticated RAG (Retrieval-Augmented Generation) tasks, pulling concise and highly relevant document chunks into their context windows.
This skill bridges the gap between raw proprietary data and LLM intelligence, offering clean retrieval results powered by Alibaba's Embedding and Rerank APIs. It is specifically optimized for automated workflows where precision and speed are critical for maintaining the accuracy of an AI agent's responses.
To deploy this skill, ensure you have Python 3 installed and your Alibaba Cloud credentials active. Follow these steps to configure your environment:
# Set your DashScope API Key
export DASHSCOPE_API_KEY="your_api_key_here"
# Set your specific KnowledgeBase ID
export KNOWLEDGEBASE_ID="your_kb_id_here"
Once the environment variables are set, you can test the retrieval script directly:
python3 scripts/retrieve.py "your search query" 5
The skill manages data retrieval through a structured input/output flow. The following table describes the primary parameters used within the Openclaw Skills framework:
| Parameter | Type | Description |
|---|---|---|
| query | String | The natural language string used to search the knowledge base. |
| count | Integer | Number of document chunks to retrieve (Default: 5, Max: 20). |
| baseDir | Path | The directory path containing the retrieval scripts. |
| metadata | JSON | Contains the emoji icon and required environment variable list. |
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