Chunking For RAG

​

Goal

​

Sample Documents

​

Decision Table

​

Request

curl -X POST https://api.runpulse.com/extract \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "file_url": "https://platform.runpulse.com/api/examples/d4dfc1e2-60ac-4776-a5a8-20b88e68bf9f/pdf",
    "extensions": {
      "chunking": {
        "chunk_types": ["semantic", "page"],
        "chunk_size": 1200
      }
    },
    "async": true,
    "storage": {"enabled": true}
  }'

​

Recommended Patterns

​

Checks

• Test chunking on three representative documents before locking the config.
• Store chunk type and chunk index with every embedding.
• Keep page references if any answer needs a citation or reviewer jump link.
• Avoid tiny chunks for tables; they often lose headers and context.
• Use Split before Schema when the document has multiple sections that need different extraction logic.

​

Related