A naukri.com initiative
Amazon
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Image Credit: Amazon
Integrate natural language processing and generative AI with relational databases
- Organizations are facing challenges in accessing data stored in RDBMS applications, often requiring SQL expertise.
- Using AI and NLP capabilities like Amazon Bedrock can enable users to interact with databases through natural language.
- This approach democratizes data access and reduces the need for SQL knowledge.
- The solution uses Anthropic's Claude 3 Sonnet model to convert natural language queries into SQL.
- An architecture involves a Flask web app, JavaScript, Python, Amazon Bedrock, and AWS Secrets Manager to interact with an Aurora PostgreSQL database.
- Prerequisites include an EC2 instance, Anthropic’s model access, Secrets Manager, and an Aurora PostgreSQL database.
- Tables like customers, items, and orders are created in the database to simulate data for queries.
- Security measures such as configuring security groups, IAM roles, and web server access are essential.
- Code execution processes are detailed for interfacing with Amazon Bedrock and displaying results on a webpage.
- Testing the solution involves running sample prompts to generate reports and interacting with database data as per the natural language input.
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