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GLOSSARY · A

What Is Agentic RAG?

DEFINITION

Agentic RAG is an AI system that uses information retrieval alongside autonomous AI agents. This means that in addition to retrieving information from a set of documents, it can determine what information it needs to find, which tools to use to retrieve it, assess the information and further search for additional information if there is not enough evidence. This helps an AI system solve more complex questions.

Why is Agentic RAG Important?

  • Relevant information: It will provide information that is relevant to the question asked by the user.
  • Smart searching: Uses results to improve its searches.
  • Solving complex problems: Will break down complex questions into smaller research questions.
  • Improved information grounding: Can check if there is enough evidence to provide an answer.

Examples of Using Agentic RAG

  • Knowledge assistants within enterprises to search documents and databases.
  • Research AI's to compare information from multiple sources.
  • Customer service agents to search for information within product manuals.
  • Procurement systems to analyse information in supplier documents, contracts and purchases.

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