RAG-EDI

Retrieval-Augmented Generation for EDI documentation, AI & data integration applied to EDI.

Definition

RAG (Retrieval-Augmented Generation) applied to EDI consists of indexing TDED, GS1, EANCOM, X12, ISO 20022 manuals in a vector database (Pinecone, Weaviate, Qdrant), then enriching an LLM context with the most relevant passages on each query. Enables an EDI assistant that cites sources and stays up-to-date as directories change.

Origin

RAG architecture popularised by the Facebook paper (Lewis et al., 2020). Applied to EDI by vendors Cleo, Stedi from 2023.

Example in context

An EDI developer asks "What does DTM qualifier 137 mean?", the RAG retrieves the TDED 2005 passage and includes it in the LLM prompt.

Related terms

• Embeddings EDI — core RAG component.
• Vector DB EDI — embeddings storage.