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GitHub / manoharpalanisamy / Build-and-deploy-RAG-in-AWS-lambda-ECR-docker-langchain-Huggingface-

The Document Question and Answering RAG Application is designed to provide intelligent and accurate responses to questions based on the content of uploaded documents. By combining state-of-the-art machine learning models and cloud technologies, this application offers a seamless and scalable

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/manoharpalanisamy%2FBuild-and-deploy-RAG-in-AWS-lambda-ECR-docker-langchain-Huggingface-

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Python
Size: 2.7 MB
Dependencies parsed at: Pending

Created at: about 1 year ago
Updated at: about 1 year ago
Pushed at: about 1 year ago
Last synced at: 12 months ago

Topics: aws-apprunner, aws-bedrock, aws-ecr, docker, faiss, github-actions, langchain

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