retrieval

Name: retrieval
Availability: InStock
Author: edangx100

Retrieve relevant documents from vector databases using semantic search.

Updated Aug 23, 2026

Search Tags:#semantic search #vector database #RAG #retrieval #ChromaDB

One-click install

npx skills add https://github.com/edangx100/adaptive_rag --skill retrieval

Or copy as Structured Prompt for Agent▼

Please help me install this Agent Skill.
Skill: retrieval
Source: https://github.com/edangx100/adaptive_rag/tree/main/.claude/skills/retrieval
Command: npx skills add https://github.com/edangx100/adaptive_rag --skill retrieval

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates manual document searching by automatically retrieving the most relevant information from vector databases.

Core Features & Use Cases

Semantic Search: Finds documents based on meaning rather than just keywords.
Multi-Collection Support: Searches across catalog, FAQ, and troubleshooting databases.
Use Case: When a customer asks about product specifications, this Skill automatically retrieves relevant documents from the catalog collection.

Quick Start

Retrieve documents about gaming laptops from the catalog collection.