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ConceptsKnowledge and Retrieval

Knowledge and Retrieval

Retrieval in Agents24 is a system, not a single checkbox. The platform distinguishes:

  • ingestion and transformation
  • knowledge storage
  • retrieval consumption during a run

Product mental model

  • RAG pipelines build or refresh knowledge representations
  • knowledge stores are the logical bridge
  • agents consume retrieval results during runtime

Good first-use constraints

  • use a narrow corpus
  • prefer one knowledge path over many
  • test with prompts where grounded context changes the answer

What success looks like

You should be able to tell:

  • which documents were relevant
  • whether retrieval improved the result
  • whether missing or weak context caused the answer to degrade
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