Processor

Ingestion

The Ingestion policy prepares documents for knowledge search. Open Processor → Pipelines, find Ingestion under Templates, and select Set up.

The default chain runs OCR, then prepares searchable chunks with the AI engine. On a self-hosted server, an administrator must run the AI engine; chunking does not work through Stirling Cloud AI.

Configure processing#

  1. Review Make text searchable. The preset uses English OCR; use Customise to change the OCR step's languages when needed.
  2. Leave Prepare for knowledge search on to prepare chunks. Turn it off if you only need OCR.
  3. Under Documents to process, choose Files opened in the editor or a saved input source. Use Connect input source if the location is not set up yet.
  4. Choose when the input runs. Editor input runs on upload or export; other inputs offer the triggers their source type supports.
  5. Choose the output type and destination described below.
  6. Resolve any readiness messages, then select Create pipeline.

Ingestion setup with processing and input settings

Choose the output#

Ingestion output menu with knowledge base, connected database, and export choices

Output type Result Requirements
Stirling knowledge base Indexes searchable chunks in Stirling and returns the processed PDF to the selected destination. Reachable AI engine and a configured embedding provider.
Connected vector database Sends chunks to the selected database, which generates embeddings; returns an indexing receipt. Reachable AI engine and an enabled vector database source with its connection and collection.
Export chunks without a database Saves the processed PDF and JSONL chunks to the selected destination. Reachable AI engine; no database or embedding provider needed.

Select an enabled destination for server inputs and exports. For Editor input, choose Return results to editor or Keep originals and send to a destination.

Adjust chunk settings#

Expand Chunk settings to change how extracted text is divided for retrieval:

Setting Default Accepted values
Chunk size 512 Whole number from 64 to 32768 characters
Overlap 64 Whole number from 0 to 4096, smaller than the chunk size

Start with the defaults and check retrieval against your documents before changing them. Changing chunk settings does not rebuild documents already stored in a knowledge base.

Check readiness and originals#

Resolve any readiness messages and select Check again. On a self-hosted server, an administrator can open the engine settings from Open AI settings.

Choose what happens to originals with the source's After processing setting. When a processing folder delivers to a vector database, originals are kept.

Test a document, inspect the resulting PDF or export, and try a search in the knowledge base before switching on ongoing ingestion. Use Review to investigate failures.