# Resources
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## AWS documentation
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+ [Amazon Bedrock documentation](https://docs.aws.amazon.com/bedrock/latest/userguide/what-is-bedrock.html)
+ [Amazon Neptune documentation](https://docs.aws.amazon.com/neptune/latest/userguide/intro.html)
+ [Amazon OpenSearch Service documentation](https://docs.aws.amazon.com/opensearch-service/latest/developerguide/what-is.html)
+ [Applying the AWS Well-Architected Framework for Amazon Neptune](https://docs.aws.amazon.com/prescriptive-guidance/latest/neptune-well-architected-framework/introduction.html) (AWS Prescriptive Guidance)
+ [Operational best practices for Amazon OpenSearch Service](https://docs.aws.amazon.com/opensearch-service/latest/developerguide/bp.html) (OpenSearch Service documentation)
+ [Using Amazon Comprehend Medical and LLMs for healthcare and life sciences](https://docs.aws.amazon.com/prescriptive-guidance/latest/generative-ai-nlp-healthcare/introduction.html) (AWS Prescriptive Guidance)

## AWS blog posts
<a name="resources-blogs"></a>
+ [Build RAG and agent-based generative AI applications with new Amazon Titan Text Premier model, available in Amazon Bedrock](https://aws.amazon.com/blogs/aws/build-rag-and-agent-based-generative-ai-applications-with-new-amazon-titan-text-premier-model-available-in-amazon-bedrock/)
+ [Complement Commercial Intelligence by Building a Knowledge Graph out of a Data Warehouse with Amazon Neptune](https://aws.amazon.com/blogs/database/complement-commercial-intelligence-by-building-a-knowledge-graph-out-of-a-data-warehouse-with-amazon-neptune/)
+ [Using knowledge graphs to build GraphRAG applications with Amazon Bedrock and Amazon Neptune](https://aws.amazon.com/blogs/database/using-knowledge-graphs-to-build-graphrag-applications-with-amazon-bedrock-and-amazon-neptune/)

## Other resources
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+ [Integrating Retrieval-Augmented Generation with Large Language Models in Nephrology: Advancing Practical Applications](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10972059/) (PubMed Central, National Library of Medicine)
+ [Introduction to LangChain](https://python.langchain.com/docs/introduction/) (LangChain documentation)