Cross Compare
Compare documents against a reference collection with multi-tier matching
On one real run
Your Supplier Renamed It, One Stage Still Finds It: A Matching Cascade That Reports Its Tier
Four catalog items reconciled against a 13-item supplier list. An identical string matches at the exact tier, one hyphen falls through to fuzzy at 0.95, a reordered name falls through to vector at 0.9528, and a jute rug that has no counterpart is reported as not_in_supplier_catalog instead of being paired with the nearest wool rug.
See the full diagram
Configuration
REQUIRED. Collection ID containing reference documents to compare against.
Field on source documents containing comparison elements.
Field on reference documents containing comparison content.
Element extraction: 'raw', 'lines', 'labels', or 'list'.
Ordered matching cascade. Stops at first successful tier.
Minimum fuzzy score for a match.
Minimum semantic similarity for a match.
Output: 'findings' (one doc per comparison) or 'enrich' (add results to source).
Field name for results in 'enrich' mode.
Output
No output yet
Configure the stage parameters and click "Run Stage" to see the simulated output.
Related to cross_compare
Pages on the same stages, extractors and patterns.
Json Transform
Transform documents using Jinja2 templates that render to JSON
Rag Prepare
Prepare documents for LLM context windows with token management
External Web Search
Enrich documents with web search results using Exa AI
Api Call
Enrich documents with external API calls
Sql Lookup
Enrich documents with SQL query results from external databases
Llm Enrich
Enrich documents with LLM-generated fields using natural language prompts