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Amazon Bedrock Knowledge Bases allows you to connect to structured data stores, which contain data that conforms to a predefined schema. Examples of structured data include tables and databases. Amazon Bedrock Knowledge Bases can convert user queries into language that is suitable for extracting data from support structured data stores. It can then use the converted query to retrieve data that is relevant to the query and generate appropriate responses.
With Amazon Bedrock Knowledge Bases, you can build a knowledge base from an Amazon Kendra GenAI index to create more sophisticated and accurate Retrieval Augmented Generation (RAG)-powered digital assistants.
Proposed Solution
No response
Other Information
No response
Acknowledgements
I may be able to implement this feature request
This feature might incur a breaking change
The text was updated successfully, but these errors were encountered:
Describe the feature
Add support for additional Knowledge Base types:
Structured Data Store
Amazon Kendra GenAI index
Use Case
Amazon Bedrock Knowledge Bases allows you to connect to structured data stores, which contain data that conforms to a predefined schema. Examples of structured data include tables and databases. Amazon Bedrock Knowledge Bases can convert user queries into language that is suitable for extracting data from support structured data stores. It can then use the converted query to retrieve data that is relevant to the query and generate appropriate responses.
With Amazon Bedrock Knowledge Bases, you can build a knowledge base from an Amazon Kendra GenAI index to create more sophisticated and accurate Retrieval Augmented Generation (RAG)-powered digital assistants.
Proposed Solution
No response
Other Information
No response
Acknowledgements
The text was updated successfully, but these errors were encountered: