Functions

Functions are the core building blocks of data transformation in Bem. Each function type serves a specific purpose:

• Extract: Extract structured JSON data from unstructured documents (PDFs, emails, images, spreadsheets), with optional layout-aware bounding-box extraction
• Route: Direct data to different processing paths based on conditions
• Split: Break multi-page documents into individual pages for parallel processing
• Join: Combine outputs from multiple function calls into a single result
• Parse: Render documents into a navigable structure of page-aware sections, named entities, and relationships — designed to be walked by an LLM agent via the File System API (POST /v3/fs). Two toggles, both true by default: extractEntities controls per-document entity and relationship extraction; linkAcrossDocuments merges entities into one canonical record per real-world thing across the environment, populating cross-document memory.
• Payload Shaping: Transform and restructure data using JMESPath expressions
• Enrich: Enhance data with semantic search against collections
• Send: Deliver workflow outputs to downstream destinations

Use these endpoints to create, update, list, and manage your functions.

See also

• Function types overview — extract, classify, split, join, enrich, parse, payload shaping
• Schema building guide — designing outputSchema