ksmin23/rag-with-amazon-opensearch-and-sagemaker

Question Answering Generative AI application with Large Language Models (LLMs) and Amazon OpenSearch Service

21
/ 100
Experimental

This project helps you build a custom question-answering system that can accurately answer questions using your organization's internal documents and knowledge. You input your enterprise knowledge base documents, and the system delivers precise, AI-generated answers to user queries, overcoming the common limitation of AI models forgetting facts or making things up. It's designed for machine learning engineers or data scientists who need to deploy robust GenAI applications.

No commits in the last 6 months.

Use this if you need to create a reliable AI-powered chatbot or question-answering system that provides accurate information from your specific, large collection of internal documents.

Not ideal if you are looking for a plug-and-play end-user application without any technical setup or if you don't have access to AWS services.

Generative AI Enterprise Search Knowledge Management Question Answering Systems Machine Learning Operations
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 9 / 25

How are scores calculated?

Stars

7

Forks

1

Language

Python

License

Last pushed

Jun 29, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/rag/ksmin23/rag-with-amazon-opensearch-and-sagemaker"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.