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Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

AWS Machine Learning Blog

They can ask questions like “What wiper blades fit a 2021 Honda CR-V?” The Lambda function runs the database query against the appropriate OpenSearch Service indexes, searching for exact matches or using fuzzy matching for partial information. Use database functions for searches and compatibility checks.

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From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 2

AWS Machine Learning Blog

The available data sources are: Stock Prices Database Contains historical stock price data for publicly traded companies. Analyst Notes Database Knowledge base containing reports from Analysts on their interpretation and analyis of economic events. Stock Prices Database The question is about a stock price.

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Create a multimodal chatbot tailored to your unique dataset with Amazon Bedrock FMs

AWS Machine Learning Blog

Solution overview For our custom multimodal chat assistant, we start by creating a vector database of relevant text documents that will be used to answer user queries. This script can be acquired directly from Amazon S3 using aws s3 cp s3://aws-blogs-artifacts-public/artifacts/ML-16363/deploy.sh. us-east-1 or bash deploy.sh

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Using LLMs to fortify cyber defenses: Sophos’s insight on strategies for using LLMs with Amazon Bedrock and Amazon SageMaker

AWS Machine Learning Blog

We have defined three specialized tasks that are covered later in the blog. Given a database schema, the model is provided with three examples pairing a natural-language question with its corresponding SQL query. Our analysis in this blog post has focused on Anthropic’s Claude 3 Sonnet model and three specific use cases.

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Build an intelligent multi-agent business expert using Amazon Bedrock

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Amazon Redshift is a database optimized for online analytical processing (OLAP), which generally entails analyzing large amounts of data and performing complex analysis, as might be done by analysts looking at historical stock prices. The second trial ran from August 2021 to August 2022 with 400 participants. June 2019 - May 2020 2.

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Stress Testing Supply Chain Networks at Scale on Databricks

databricks

Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data!

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How IDIADA optimized its intelligent chatbot with Amazon Bedrock

AWS Machine Learning Blog

In 2021, Applus+ IDIADA , a global partner to the automotive industry with over 30 years of experience supporting customers in product development activities through design, engineering, testing, and homologation services, established the Digital Solutions department.