Janus.Guru

A glossary of RAG and document assistants

These terms describe a managed retrieval and evidence workflow, not an abstract chat experience.

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Core concepts

RAG – retrieval-augmented generation: a model answers after searching a collection
Corpus – documents, fragments, and metadata used by an assistant
Chunking – preparing documents for precise retrieval
Embeddings – numerical representations used for semantic search

Answer controls

Source references – retrieved fragments behind an answer
Source-backed answer – wording grounded in collection material
Unsupported-claim control – rules that limit free conclusions without evidence