qdrant-chunk-retriever

Retrieves and inspects PDF chunks from a Qdrant vector database with JSON export.

Updated Oct 9, 2025
One-click install
npx skills add https://github.com/techybolek/child --skill qdrant-chunk-retriever
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: qdrant-chunk-retriever
Source: https://github.com/techybolek/child/tree/main/.claude/skills/qdrant-chunk-retriever
Command: npx skills add https://github.com/techybolek/child --skill qdrant-chunk-retriever

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires qdrant-client.

What problem does it solve?

Debugging Retrieval-Augmented Generation (RAG) systems can be challenging without visibility into how documents are chunked and stored in your vector database. This Skill allows you to easily retrieve and inspect individual chunks, helping you understand document structure and pinpoint retrieval issues.

Core Features & Use Cases

  • Retrieve All Chunks: Get a complete overview of how a PDF is broken down.
  • Inspect Specific Chunks: Dive into the content and metadata of any particular chunk.
  • View Context Fields: Examine document and chunk contexts to understand embedding content.
  • Use Case: Your RAG system isn't finding expected information for a specific query. Use this Skill to inspect the relevant document's chunks, verify content, and check chunk boundaries to diagnose the problem.

Quick Start

Show me all chunks from child-care-services-guide-twc.pdf.

Frequently Asked Questions about qdrant-chunk-retriever

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

FAQPage Schema
How do I debug what chunks a PDF is stored as in my vector database?

Chunk inspection retrieves and displays individual chunks from PDFs stored in Qdrant, showing their text content, page numbers, indices, and metadata. This reveals how documents are segmented and helps diagnose why your RAG system isn't finding expected information.

Can I inspect specific chunks from a PDF in Qdrant without retrieving all of them?

Yes, you can retrieve all chunks from a document, inspect a single chunk by index, or export results to JSON. You control which chunks to view and can adjust text preview length to focus on the content you need.

What does chunk metadata in a vector database tell me about retrieval?

Chunk metadata includes document context, chunk indices, page numbers, and boundary information. Examining this metadata helps you verify that content is correctly segmented and understand why the retrieval system selected or missed certain chunks for a query.

How do I export chunks from Qdrant for further analysis?

The Skill supports JSON export of retrieved chunks, allowing you to save chunk data with all metadata and content for offline analysis, comparison, or integration into other debugging workflows.

Do I need to know how my RAG system chunks documents before debugging retrieval issues?

No. This Skill reveals chunk boundaries and structure directly from your Qdrant vector database, so you can inspect how documents are actually stored and chunked without prior knowledge of your segmentation logic.