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qdrant-file-exporter

Extracts all chunks with three-tier contextual embeddings from a specific PDF file in Qdrant vector

提供方 techybolek|开源

Qdrant File Exporter Skill

Export all text chunks from a specific PDF file in the Qdrant vector database to a plain text file.

Overview

This skill provides a simple way to extract all chunks for a particular PDF document from the Qdrant vector database. It queries the tro-child-3-contextual collection, retrieves all chunks matching the specified filename, and saves them to a plain text file for inspection or analysis.

The output includes the complete three-tier contextual embedding hierarchy (master context, document context, and chunk-specific contexts) that enhances retrieval accuracy in the RAG system.

Features

  • Bulk Extraction: Retrieve all chunks for a specific PDF in one operation
  • Three-Tier Contexts: Includes master, document, and chunk-specific contexts
  • Sequential Order: Chunks sorted by chunk_index to maintain original document order
  • Plain Text Output: Simple, readable format without JSON or metadata clutter
  • Page Number Headers: Each chunk labeled with its source page number
  • Document Start: Output begins with the actual document beginning (not random chunks)
  • Automatic Scrolling: Handles large files by scrolling through all Qdrant points
  • Organized Output: Saves to UTIL/ directory with clear naming

Installation

No additional dependencies beyond the main project requirements. The skill uses:

  • qdrant-client (already in project requirements.txt)
  • Standard Python libraries (os, sys)

Ensure environment variables are set:

export QDRANT_API_URL="your-qdrant-url"
export QDRANT_API_KEY="your-qdrant-key"

Usage

Via Claude Code (Automatic)

Simply ask Claude:

  • "Export all chunks from [filename.pdf]"
  • "Dump the chunks for the income eligibility PDF"
  • "Save all chunks from [filename] to a file"

Claude will automatically activate this skill and run the export.

Manual Usage

Run the script directly:

python .claude/skills/qdrant-file-exporter/scripts/export_chunks.py "filename.pdf"

Example:

python .claude/skills/qdrant-file-exporter/scripts/export_chunks.py "bcy-26-income-eligibility-and-maximum-psoc-twc.pdf"

Output

Exported files are saved to:

UTIL/[filename]_chunks.txt

Output Format

================================================================================
MASTER CONTEXT (applies to all chunks)
================================================================================
This is official Texas Workforce Commission (TWC) documentation regarding...

================================================================================

DOCUMENT CONTEXT
--------------------------------------------------------------------------------
This report evaluates the Texas Workforce Commission's subsidized child‑care program...

================================================================================

--- Chunk 1 (Page 0) ---

[Chunk Context]: Evaluation of TWC's subsidized child‑care program, detailing background...

[Chunk text content]

--- Chunk 2 (Page 0) ---

[Chunk Context]: Section on agency roles and legal mandates...

[Chunk text content]

...

Output includes three-tier contextual embeddings:

  • Master Context: Domain-level context (once at beginning)
  • Document Context: Document-specific summary (once at beginning)
  • Chunk Context: Chunk-specific context (for each chunk)

Chunks are sorted by their original document order (chunk_index). The first chunk will be from the beginning of the document.

Examples

Example 1: Export Income Eligibility Document

$ python .claude/skills/qdrant-file-exporter/scripts/export_chunks.py "bcy-26-income-eligibility-and-maximum-psoc-twc.pdf"

Connecting to Qdrant...
Collection: tro-child-3-contextual
Searching for chunks with doc='bcy-26-income-eligibility-and-maximum-psoc-twc.pdf'...
Found 47 chunks
Saved to: UTIL/bcy-26-income-eligibility-and-maximum-psoc-twc_chunks.txt

Example 2: Via Claude

User: "Export all chunks from the PSOC chart PDF"
Claude: "Which PDF would you like to export? Please provide the exact filename."
User: "bcy-26-psoc-chart-twc.pdf"
Claude: *Runs export*
        ✅ Extracted 12 chunks from bcy-26-psoc-chart-twc.pdf
        📄 Saved to: UTIL/bcy-26-psoc-chart-twc_chunks.txt

File Structure

.claude/skills/qdrant-file-exporter/
├── SKILL.md              # Claude instructions
├── README.md             # This file
└── scripts/
    └── export_chunks.py  # Main export script

Troubleshooting

"File not found in collection"

  • Check the exact filename spelling (case-sensitive)
  • Use qdrant-chunk-retriever skill to search for available files
  • Verify the PDF was loaded to the collection

"Connection error"

  • Check QDRANT_API_URL and QDRANT_API_KEY environment variables
  • Verify network connectivity
  • Run python LOAD_DB/verify_qdrant.py to test connection

"No chunks found"

  • The file exists but has 0 chunks (unusual)
  • May indicate loading issue - try reloading the PDF

Related Skills

  • qdrant-chunk-retriever - Search and inspect specific chunks
  • qdrant-doc-deleter - Delete documents from collection
  • qdrant-pdf-reloader - Reload single PDF to collection

Technical Details

  • Collection: tro-child-3-contextual (hardcoded)
  • Filter Field: filename (exact match)
  • Extracted Metadata:
    • chunk_index - For sequential ordering
    • page - Page number
    • text - Chunk content
    • chunk_context - Chunk-specific context
    • document_context - Document summary
    • master_context - Domain-level context
  • Scroll Limit: 100 chunks per batch
  • Output Encoding: UTF-8
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