A Demo of Retrieval Augmented Generation: Amazon Kendra, Bedrock, Titan LLM , EC2, and Confluence.

Name: A Demo of Retrieval Augmented Generation: Amazon Kendra, Bedrock, Titan LLM , EC2, and Confluence.
Uploaded: 2023-08-10T19:39:29+00:00
Channel: Data Science and Data Visualization
Description: Github: https://github.com/MustaphaU/RAGwithAmazonTitan A Demo of Retrieval Augmented Generation with Amazon Kendra, Bedrock, Amazon Titan LLM , Amazon ...

Data Science and Data Visualization · Intermediate ·🧠 Large Language Models ·2y ago

Github: https://github.com/MustaphaU/RAGwithAmazonTitan A Demo of Retrieval Augmented Generation with Amazon Kendra, Bedrock, Amazon Titan LLM , Amazon EC2, and Confluence REST API, and LangChain. The documents or articles were first retrieved using the Atlassian Confluence API, next stored in s3, and then indexed using Amazon Kendra. For the text completion part of the Retrieval Augmented Generation System, Amazon titan LLM (specifically "amazon-titan-tg1-large") was used as the large language model.

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