build-on-aws / bedrock-agent-txt2sqlLinks
Use natural language to Generate Amazon Athena SQL queries to fetch data.
☆90Updated 8 months ago
Alternatives and similar repositories for bedrock-agent-txt2sql
Users that are interested in bedrock-agent-txt2sql are comparing it to the libraries listed below
Sorting:
- This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.☆122Updated 5 months ago
- ☆41Updated 3 months ago
- Creating Amazon Bedrock agents with Streamlit Framework☆126Updated 5 months ago
- ☆51Updated 3 months ago
- ☆131Updated 2 weeks ago
- AWS Generative AI Conversational RAG Reference (Galileo)☆77Updated 3 weeks ago
- Workshop Studio☆157Updated last year
- A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and other AWS's serveless GenAI solution.☆111Updated 3 weeks ago
- Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial inte…☆256Updated this week
- Mistral on AWS examples for Bedrock & SageMaker☆77Updated 2 weeks ago
- ☆54Updated last year
- A full-stack serverless RAG workflow. This is thought for running PoCs, prototypes and bootstrap your MVP.☆76Updated 8 months ago
- Use LLMs for building real-world apps☆114Updated 6 months ago
- Personal Chatbot powered by Amazon Bedrock LLMs with a data analytics feature that provides isolated servereless compute on Athena Spark …☆93Updated 3 weeks ago
- ☆250Updated last year
- A Python framework for multi-modal document understanding with Amazon Bedrock☆94Updated last month
- Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stac…☆247Updated 3 months ago
- ☆45Updated 5 months ago
- ☆42Updated 11 months ago
- Build Agentic AI solutions on AWS, using latest OSS Agentic Frameworks.☆124Updated last week
- aws-solutions-library-samples / guidance-for-conversational-chatbots-using-retrieval-augmented-generation-on-awsThis Guidance demonstrates how to combine Retrieval Augmented Generation (RAG) with AWS services to build generative AI applications.☆40Updated 9 months ago
- Amazon Bedrock Foundation models with Amazon Opensearch Serverless as a Vector DB☆200Updated last month
- ☆97Updated last month
- A demo application that uses Amazon SageMaker manuals and pricing data tables as an example to explore the capabilities of a generative A…☆47Updated 3 weeks ago
- ☆67Updated last year
- Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databa…☆147Updated 5 months ago
- Foundation Model Evaluations Library☆259Updated 2 weeks ago
- ☆54Updated last month
- Repository for training and deploying Generative AI models, including text-text, text-to-image generation and prompt engineering playgrou…☆151Updated this week
- Cloud-native, AI-powered, document processing pipelines on AWS.☆184Updated 4 months ago