tos-vectors

Review·Scanned 2/18/2026

This skill manages vector storage and similarity search using the TOS Vectors service and includes code and scripts to create buckets, indexes, insert and query vectors. It reads TOS_ACCESS_KEY, TOS_SECRET_KEY, and TOS_ACCOUNT_ID, calls https://tosvectors-cn-beijing.volces.com, and instructs running python scripts/init_vectors.py.

from clawhub.ai·va49fa74·37.9 KB·0 installs
Scanned from 1.0.2 at a49fa74 · Transparency log ↗
$ vett add clawhub.ai/jneless/tos-vectorsReview findings below

TOS Vectors Agent Skill

A comprehensive Claude Agent Skill for managing vector storage and similarity search using TOS Vectors service.

Overview

This skill enables Claude to work with TOS Vectors - a cloud-based vector database optimized for AI applications including semantic search, RAG systems, and recommendation engines.

Skill Structure

tos-vectors-skill/
├── SKILL.md              # Main skill file with quick start and core operations
├── REFERENCE.md          # Complete API reference
├── WORKFLOWS.md          # Common workflow patterns
├── scripts/              # Utility scripts
│   ├── init_vectors.py   # Initialize bucket and index
│   ├── insert_vectors.py # Insert sample vectors
│   └── search_vectors.py # Search vectors
└── examples/             # Additional examples

Quick Start

1. Set Environment Variables

export TOS_ACCESS_KEY="your-access-key"
export TOS_SECRET_KEY="your-secret-key"
export TOS_ACCOUNT_ID="your-account-id"

2. Initialize Environment

python scripts/init_vectors.py

3. Insert Sample Data

python scripts/insert_vectors.py

4. Search Vectors

python scripts/search_vectors.py "machine learning"

Core Capabilities

  • Vector Bucket Management: Create, list, delete vector buckets
  • Vector Index Management: Create indexes with custom dimensions and metrics
  • Vector Operations: Insert, query, get, delete, and list vectors
  • Similarity Search: KNN search with metadata filtering
  • Batch Operations: Efficient batch insert/delete (up to 500/100 vectors)
  • Policy Management: IAM policy configuration

Common Use Cases

  1. Semantic Search: Build document search systems
  2. RAG Systems: Retrieval augmented generation for LLMs
  3. Recommendations: Product/content recommendation engines
  4. Image Search: Visual similarity search

Documentation

  • SKILL.md: Quick reference and common operations
  • REFERENCE.md: Complete API documentation
  • WORKFLOWS.md: Step-by-step workflow examples

Requirements

  • Python 3.7+
  • tos Python SDK
  • TOS Vectors account credentials

Installation

pip install tos
  • important: TOS vectors in Beta, please install tos=2.8.8b1

Configuration

Endpoints

  • Internal: https://tosvectors-cn-beijing.ivolces.com
  • External: https://tosvectors-cn-beijing.volces.com

Regions

  • cn-beijing (Beijing)
  • cn-shanghai (Shanghai)
  • cn-guangzhou (Guangzhou)

Limits

  • Max vector buckets: 100 per account
  • Vector dimensions: 1-4096
  • Batch insert: 1-500 vectors
  • Batch get/delete: 1-100 vectors
  • Query TopK: 1-30 results

Support

For issues or questions, refer to the TOS Vectors documentation or contact support.