This sample code explains how to add a Knowledgebase in addition to Amazon Kendra for the "Generative AI Application Builder on AWS" solution. https://aws.amazon.com/solutions/implementations/generative-ai-application-builder-on-aws/
Note: This is not a production ready code base, but should rather be used for testing and proof of concepts.
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Pre-requisites:
Have the aws cli installed and python installed.
Architecture Diagram:
Steps to integrate a Knowledgebase for Retrieval Augmented Generation with Generative AI App builder on AWS.
The steps to ingest data into the knowledgebase and deploy the stack for the text use case is under Instructions folder.
The currently supported knowledge base are
1)Amazon Opensearch text search 2)Amazon OpenSearch embeddings search 3)Neo4j Search
Choose the instructions for the knowledgebase that you would like to use from the Instructions folder.
Note:Once deployed and testing is complete, do not forget to cleanup resources so that no cost is incurred after testing.
See CONTRIBUTING for more information.
This library is licensed under the MIT-0 License. See the LICENSE file.