Create Amazon 기술 자료
- 최종 업데이트2024/11/11
Create Amazon 기술 자료
This is a prerequisite step before you create a 기술 자료에 기반함 모델 연결.
To use the Amazon Bedrock-RAG capability, you would first create a Knowledge Base in Amazon Bedrock.
The Amazon 기술 자료 comprises of a data source, an embedding model,
and a vector store that you would configure in the Amazon Bedrock
console in the following order:
- Within Amazon Bedrock, navigate to Knowledge
Bases to create a knowledge base.주: See Create a knowledge base .
- Next, you would choose your data source from options such as Amazon S3, web
crawler, Confluence, Salesforce, or SharePoint, and configure it with the
default settings.주: Use default settings for the Chunking and parsing configurations section, unless you would like to choose a chunking strategy as per your use case.
- Then you would choose from the available list of Embeddings model in Amazon Bedrock as per your requirement, and keep the default Vector dimensions of the chosen model.
- Next, choose from the available list of vector stores in the Vector database section, and create the knowledge base.
- Then you would test the knowledge base against your data by sending a
prompt-query in the Amazon Bedrock knowledge base console.
The query will validate against the data source you created as a knowledge base,
and get a relevant response.주: See Test your knowledge base .
- As a logical next step, you would now navigate to the Automation Anywhere Control Room and navigate to to begin creating one.
- Use the Knowledge base ID from Amazon Bedrock to
create the 모델 연결 in .
Adding this ID ensures that the Amazon Bedrock model references the specific content when retrieving a response to ensure response relevance and accuracy.
See: Create Grounded 모델 연결 with Amazon Bedrock RAG capability.
Refer to the following resources for a better understanding of how Amazon 기술 자료 works and the steps to create a knowledge base: