aws-samples/rag-using-langchain-amazon-bedrock-and-opensearch
RAG with langchain using Amazon Bedrock and Amazon OpenSearch
This project helps developers and AI engineers build more accurate and context-aware AI applications. It takes your proprietary documents or datasets, transforms them into numerical representations, and stores them in a search engine. When users ask questions, the system retrieves relevant information from your documents to provide the large language model with specific context, resulting in more precise answers.
229 stars. No commits in the last 6 months.
Use this if you are an AI developer or engineer looking to improve the factual accuracy and relevance of your large language model (LLM) responses by grounding them in your own data.
Not ideal if you are an end-user simply looking to ask questions to a generic AI model without needing to integrate your own specific datasets.
Stars
229
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45
Language
Python
License
MIT-0
Category
Last pushed
Jan 07, 2025
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