Agentset
@agentset-ai
关于 Agentset
暂无概览
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"agentset": {
"command": "npx",
"args": [
"-y",
"@agentset/mcp@latest"
],
"env": {
"AGENTSET_API_KEY": "agentset_xxx",
"AGENTSET_NAMESPACE_ID": "ns_xxx"
}
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is Agentset?
Agentset is a TypeScript SDK for the Agentset platform, an agentic RAG-as-a-service. It provides programmatic access to create and manage knowledge bases, ingest content, and perform semantic search.
How to use Agentset?
Install the npm package (npm install agentset, yarn add agentset, or pnpm add agentset), then import the Agentset class, initialize it with an API key, and use methods like namespaces.create(), ns.ingestion.create(), and ns.search().
Key features of Agentset
- Create and manage namespaces (knowledge bases)
- Ingest text content into a namespace
- Search across ingested content
- Typed error handling (
NotFoundError,UnauthorizedError) - Custom fetch implementation support
Use cases of Agentset
- Build a question‑answering system over proprietary documents
- Create a searchable knowledge base for customer support
- Enable agentic RAG pipelines with custom embedding models
- Manage multiple isolated knowledge bases within one project
FAQ from Agentset
How do I install the SDK?
Use npm, yarn, or pnpm: npm install agentset, yarn add agentset, or pnpm add agentset.
How do I initialize the client?
Import Agentset and create an instance with your API key: new Agentset({ apiKey: "your_api_key_here" }).
What runtime is required?
The SDK is a TypeScript package meant for Node.js environments (npm‑based projects).
How are errors handled?
The SDK throws typed errors such as NotFoundError and UnauthorizedError, which you can catch with instanceof checks.
Can I provide a custom fetch implementation?
Yes, pass a fetcher option (e.g., node-fetch) when initializing the Agentset client.
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