corpus-familiarization

To build a knowledge map from RAG reference material, automate the initial familiarization process to generate structural artifacts. This creates an active, always-on internal map so the agent can reason about the ingested corpus before issuing any retrieval queries.

Corpus familiarization in a RAG pipeline is the process of mapping newly ingested reference material into a persistent knowledge store. It produces four artifacts that function as an internal inventory, ensuring the agent knows exactly what source documents it has available.

You should run corpus familiarization immediately after ingesting new documents across collections and after any significant corpus updates. This ensures the agent's active knowledge map accurately reflects the latest reference material before querying.

You maintain a running inventory of ingested reference material by writing four structural artifacts to a persistent knowledge store during corpus familiarization. This inventory allows the agent to reference what it knows without scanning the raw documents.

Yes, corpus familiarization operates without external dependencies, relying solely on your existing RAG pipeline. It processes newly ingested documents and writes four artifacts directly to your persistent knowledge store to maintain an active mapping.

A RAG agent fails to reason about newly ingested collections because it lacks an active knowledge map of the corpus. Running an automated familiarization process writes reference artifacts to a persistent store, giving the agent the structural context needed for accurate retrieval.