The RAG-based chatbot solution architecture involves the following steps: (1) Data ingestion involving raw PDFs stored in an Amazon Simple Storage Service (Amazon S3) bucket synced as a data source with Amazon Bedrock Knowledge Bases; (2) The user asks a question; (3) The Amazon Bedrock agent creates a plan and identifies the need to use a knowledge base; (4) The agent sends a request to the knowledge base, which retrieves relevant data from the underlying vector database (Amazon OpenSearch Serverless); (5) The agent retrieves an answer through RAG.

Authors

• Person: Not available Organization: Amazon Web Services
  Reducing hallucinations in large language models with custom ...

Sources

• Reducing hallucinations in large language models with custom ... aws.amazon.com Amazon Web Services via serper

Referenced by nodes (3)

• RAG concept
• Amazon Bedrock entity
• Amazon Bedrock Knowledge Bases concept