Create and manage portable, consent-scoped database pods. Handles document ingestion with embeddings and semantic search.
┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ Ingestion │ ──► │ DB Pods │ ──► │ Generation │
│ (ingest) │ │ (storage) │ │ (query) │
└─────────────┘ └─────────────┘ └─────────────┘
When user asks to create a pod:
python3 .../scripts/pod.py create --type When user asks to add content:
python3 .../scripts/pod.py add --title "" --content "<content>" --tags "<tags>"</code></li><li>Confirm</li></ol><h3>3. Ingest Documents (Automated)</h3><p>When user wants to ingest files:</p><ol><li>Ask for pod name and folder path</li><li>Run: <code>python3 .../scripts/ingest.py ingest <pod> <folder></code></li><li>Supports: PDF, TXT, MD, DOCX, PNG, JPG</li><li>Auto-embeds text (if sentence-transformers installed)</li></ol><h3>4. Semantic Search</h3><p>When user wants to search:</p><ol><li>Ask for pod name and query</li><li>Run: <code>python3 .../scripts/ingest.py search <pod> "<query>"</code></li><li>Returns ranked results with citations</li></ol><h3>5. Query (Basic)</h3><p>When user asks to search notes:</p><ol><li>Run: <code>python3 .../scripts/pod.py query <pod> --text "<query>"</code></li></ol><h3>6. Export</h3><p>When user asks to export:</p><ol><li>Run: <code>python3 .../scripts/podsync.py pack <pod></code></li></ol><h2>Dependencies</h2><pre><code>pip install PyPDF2 python-docx pillow pytesseract sentence-transformers
</code></pre><h2>Storage Location</h2><p><code>~/.openclaw/data-pods/</code></p><h2>Key Commands</h2><pre><code># Create pod
python3 .../scripts/pod.py create research --type scholar
# Add note
python3 .../scripts/pod.py add research --title "..." --content "..." --tags "..."
# Ingest folder
python3 .../scripts/ingest.py ingest research ./documents/
# Semantic search
python3 .../scripts/ingest.py search research "transformers"
# List documents
python3 .../scripts/ingest.py list research
# Query notes
python3 .../scripts/pod.py query research --text "..."
</code></pre><h2>Notes</h2><ul><li>Ingestion auto-chunks large documents</li><li>Embeddings enable semantic search</li><li>File hash prevents duplicate ingestion</li><li>All data stored locally in SQLite</li></ul></div>
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2026-03-30 07:05 安全 安全 </div>
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