How Twilio generated SQL using Looker Modeling Language data with Amazon Bedrock
Machine Learning Blog
This article discusses how Twilio used AWS Generative AI services like Amazon Bedrock to build a virtual assistant tool called "AskData" that helps their data analysts find and retrieve relevant data from their data lake by converting natural language questions into SQL queries.
Specifically, the article covers:
- Twilio's use case of enabling natural language-driven data exploration of their business intelligence data
- The solution architecture using Amazon Bedrock, Amazon RDS, Amazon DynamoDB, and Amazon S3
- Structuring and indexing the Looker Modeling Language (LookML) data for efficient retrieval
- Selecting the optimal large language model (Anthropic Claude 3) for the use case
- Building a web application using LangChain and Streamlit for the AskData tool
- Optimizing the application through techniques like prompt engineering and user feedback
- Conclusion and benefits of using Retrieval Augmented Generation for data analysis
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