aws-samples / data-insights-with-amazon-q-businessLinks
Amazon Q Business enables querying structured data using natural language, leveraging schemas and metadata. This example demonstrates an architecture to query cost and usage data in Amazon Athena with Q Business. The solution can be extended to additional data sources with query validation and prompting techniques for broader use cases.
☆15Updated 7 months ago
Alternatives and similar repositories for data-insights-with-amazon-q-business
Users that are interested in data-insights-with-amazon-q-business are comparing it to the libraries listed below
Sorting:
- ☆12Updated 8 months ago
- Describes the concepts of lambda architecture and the actual deployment process with an example of building a serverless business intelli…☆15Updated 2 weeks ago
- ☆10Updated 9 months ago
- ☆12Updated 3 weeks ago
- Advanced RAG patterns on Amazon SageMaker☆14Updated last year
- Operational Data Processing Framework developed using AWS Glue and Apache Hudi. This framework is suitable for Data Lake and Modern Data …☆22Updated last year
- ☆45Updated 4 months ago
- ☆14Updated 6 months ago
- ☆14Updated last week
- ☆16Updated 7 months ago
- ☆54Updated last year
- ☆40Updated last month
- ☆23Updated 8 months ago
- Question Answering Generative AI application with Large Language Models (LLMs) and Amazon OpenSearch Service☆25Updated 6 months ago
- ☆23Updated last year
- ☆13Updated 11 months ago
- ☆13Updated last week
- A demo application that uses Amazon SageMaker manuals and pricing data tables as an example to explore the capabilities of a generative A…☆45Updated 2 weeks ago
- ☆13Updated last year
- ☆11Updated last year
- This Guidance demonstrates how you can extend the data governance capabilities of Amazon DataZone to other Java Database Connectivity (JD…☆13Updated 8 months ago
- ☆11Updated last year
- ☆12Updated last year
- The repository guides you through generating a synthetic dataset for a QA-RAG application using the Bedrock API, Python and Langchain.☆18Updated 9 months ago
- ☆62Updated 8 months ago
- Elevate Your DevOps Pipeline with Generative AI☆22Updated 4 months ago
- ☆23Updated 6 months ago
- A sample set of notebooks demonstrating Amazon Comprehend capabilities.☆45Updated last year
- Francis is a GenAI RAG ChatBot reference architecture provided by AWS, designed to help developers quickly prototype, deploy, and launch …☆15Updated last week
- ☆11Updated 7 months ago