AgentSkillsCN

similarity-search

从 AgentDB 向量存储中检索 10 个相似的历史案例，为基于 RAG 的诊断提供支持。

SKILL.md
--- frontmatter
name: similarity-search
description: Retrieves 10 similar historical cases from AgentDB vector store for RAG-based diagnosis support
license: MIT
compatibility: opencode
metadata:
  audience: developers
  workflow: clinical-pipeline

What I do

I perform RAG (Retrieval-Augmented Generation) by querying the AgentDB vector store for similar historical cases. I retrieve the 10 most relevant past cases to inform risk assessment and recommendations.

When to use me

Use this when:

  • •Lesion detection is complete and you need historical context
  • •You need similar cases for differential diagnosis
  • •You're building a risk profile based on historical patterns

Key Concepts

  • •AgentDB: Local vector database for case storage
  • •Vector Store: Embedding-based similarity search
  • •RAG Retrieval: Find top-k similar historical cases
  • •similarity_searched: State flag after search complete

Source Files

  • •services/agentDB.ts: Vector database operations
  • •types.ts: ReasoningPattern interface

Code Patterns

  • •Use AgentDB for vector similarity search
  • •Retrieve diverse historical cases (demographic diversity)
  • •Return cases sorted by similarity score

Operational Constraints

  • •Must return diverse cases across demographics
  • •Vector store initialized via npm run agentdb:init
  • •Maximum 10 cases retrieved for performance