Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock aws.amazon.com Post date December 6, 2023 No Comments on Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock Related External Tags Amazon Bedrock, Amazon SageMaker, Amazon Textract, generative-ai, Technical How-to ← How Q4 Inc. used Amazon Bedrock, RAG, and SQLDatabaseChain to address numerical and structured dataset challenges building their Q&A chatbot → Techniques for automatic summarization of documents using language models Leave a ReplyCancel reply This site uses Akismet to reduce spam. Learn how your comment data is processed.
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