eitansela/serverless-rag-ynetnews-bedrock-demo
Retrieval Augmented Question & Answering on Ynet data in Hebrew with Amazon Bedrock using LangChain & Amazon OpenSearch
This project helps businesses answer specific questions using their own private or constantly changing data. You input a question in natural language, and it pulls relevant information from your documents to generate an accurate, up-to-date answer. This is designed for organizations like media companies, legal firms, or anyone needing precise answers from internal, domain-specific information.
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Use this if you need to provide accurate, real-time answers to questions based on your organization's unique or frequently updated documents, even if a general AI model wouldn't have that specific knowledge.
Not ideal if your primary need is general knowledge question-answering that doesn't rely on proprietary, frequently changing, or domain-specific datasets.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Oct 19, 2023
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