Query your Data Lake with Natural Language | Amazon Web Services

Опубликовано 19 июня 2024, 23:20

In this video, you'll learn how to deploy a demo that enables you to query your data lake using natural language. The demo showcases an end-to-end workflow that automates the process of searching a data catalog, generating SQL queries, executing those queries, and providing natural language responses based on the query results.

Get the code: go.aws/3VzKGMr

This video explains how to deploy a web interface where you can ask questions like "Who are the top 5 customers who bought from French suppliers?", and get answers based on your data. Walk through how it:
1) searches the data catalog for relevant tables
2) generates SQL queries
3) executes against the data lake
4) provides results in plain English

The video covers deploying on AWS Cloud9, launching the Streamlit app, and indexing sample catalogs. Get insights into the implementation using vector search and generative AI models. Whether building data exploration tools or conversational data interfaces, this demo is a powerful starting point to extend with your own data sources.

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