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data-platform/open-source-data-platforms/oci-opensearch/code-examples/rag-oci-opensearch-genai-service/README.md

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# When to use this asset?
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When you are looking to use build a full RAG pipeline using OCI OpenSearch (as vector database and as in-memory engine) and the GenAI service, using the OCI Data Science service. Largely, the steps are documented and automated to help you create the pipeline. The notebook includes a small interactive chatbot you can use to interact with in a conversation.
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When you are looking to use build a full RAG pipeline using OCI OpenSearch (as a vector database and as an in-memory engine) and the GenAI service, using the OCI Data Science service. Largely, the steps are documented and automated to help you create the pipeline. The notebook includes a small interactive chatbot you can use to interact within a conversation.
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# How to use this asset?
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# Pre-requisites:
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- Create a VCN with a private subnet. Make sure there is NAT gateway attached.
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- Create a VCN with a private subnet. Make sure there is an attached NAT gateway.
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- Add ingress rules to the security list: ports 9200 and 5601 ports on source 0.0.0.0/0, TCP
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- Create the OpenSearch cluster in the public subnet
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- Create the OCI Data Science notebook session in the private subnet
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- Add the config file (API Key) and private key to this notebook in the .oci directory
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- Install any of the latest pre-defined conda environments with latest version of OCI
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- Install any of the latest pre-defined conda environments with the latest version of OCI
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- Create an object storage bucket
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# License

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