List RAG Retriever Collections

Discover all available vector store collections and their contents.

Prerequisites

This command requires the RAG Retriever MCP server to be configured in your Claude Code setup. The server manages vector store collections for semantic search.

Implementation Approach

This command uses direct implementation as it involves straightforward MCP operations and data analysis.

Your Task

1. Collection Discovery

   • Use list_collections to retrieve all available collections
   • Display collection names with document counts
   • Show metadata like creation dates and descriptions

2. Collection Analysis

   • Analyze the size and scope of each collection
   • Identify the most useful collections for different use cases
   • Note any empty or underutilized collections

3. Usage Recommendations

   • Suggest which collections to use for different types of queries
   • Recommend collection names for specific search scenarios
   • Identify collections that might need updating or expansion

Success Criteria

• Complete list of all collections displayed
• Document counts and metadata shown for each collection
• Clear recommendations for collection usage

Available MCP Tools

• list_collections() - List all available collections with metadata
• vector_search(query, collection_name) - Search specific collections if needed for analysis