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POWERFULMOVES
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Knowledge Management Skill

Manages and searches documents via REST APIs with AI-powered semantic understanding.

1|Updated Nov 7, 2025
Search Tags:#search#knowledge base#retrieval#ingestion#document management#hi-rag
One-click install
npx skills add https://github.com/POWERFULMOVES/PMOVES-BoTZ --skill knowledge-management-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Knowledge Management Skill
Source: https://github.com/POWERFULMOVES/PMOVES-BoTZ/tree/main/features/agent_sdk/slices/knowledge
Command: npx skills add https://github.com/POWERFULMOVES/PMOVES-BoTZ --skill knowledge-management-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the management and retrieval of information within a knowledge base, making it easier to find relevant data and keep the index up-to-date.

Core Features & Use Cases

  • Search Knowledge Base: Efficiently query for information using various retrieval modes.
  • Ingest Documents: Add new documents and data to the knowledge base.
  • Manage Index: Update, delete, or reindex documents to maintain data integrity.
  • Use Case: When researching a complex topic, use this Skill to search the knowledge base for all documents related to "TensorZero routing" and then ingest a new document explaining a recent update to the system.

Quick Start

Search the knowledge base for information on how TensorZero routing works.

Frequently Asked Questions about Knowledge Management Skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How does hybrid retrieval compare to standard vector search for a knowledge base?▼

Hybrid retrieval combines vector search, graph databases, and full-text search to provide more robust knowledge management than standard vector search, which only matches semantic similarity without contextual graph relationships.

How do I ingest new documents and update existing entries in a knowledge base?▼

You ingest new documents into the knowledge base by adding them directly, and manage existing data by updating entries, deleting outdated information, or performing a full reindex to maintain data integrity.

Can I use Qdrant and Neo4j together for knowledge base document management?▼

Yes, this approach integrates Qdrant for vector search, Neo4j for graph database relationships, and Meilisearch for full-text search, utilizing Hi-RAG v2 to manage and query your knowledge base.

What is Hi-RAG v2 and when do I need it for knowledge base retrieval?▼

Hi-RAG v2 is a retrieval framework needed when you require hybrid knowledge base operations, enabling you to efficiently search, ingest, update, and reindex documents across vector, graph, and text stores.

Does this approach support full reindexing and deleting data from a graph database?▼

Yes, the system supports full reindexes and allows you to delete data from the integrated knowledge base, ensuring you can maintain data integrity across graph, vector, and full-text search stores.

Why use a hybrid knowledge base instead of standalone full-text search for document retrieval?▼

A hybrid knowledge base provides robust retrieval by combining full-text search with vector search and graph databases, whereas standalone full-text search lacks the semantic matching and relational context needed for complex queries.

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