aws-samples / text-to-sql-bedrock-workshopLinks
This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.
☆123Updated 6 months ago
Alternatives and similar repositories for text-to-sql-bedrock-workshop
Users that are interested in text-to-sql-bedrock-workshop are comparing it to the libraries listed below
Sorting:
- Creating Amazon Bedrock agents with Streamlit Framework☆128Updated 6 months ago
- Use natural language to Generate Amazon Athena SQL queries to fetch data.☆91Updated 10 months ago
- ☆52Updated last week
- ☆42Updated 4 months ago
- Workshop Studio☆157Updated last year
- Repository for training and deploying Generative AI models, including text-text, text-to-image generation and prompt engineering playgrou…☆166Updated this week
- Amazon Bedrock Foundation models with Amazon Opensearch Serverless as a Vector DB☆202Updated this week
- A simple and clear example for implement a chatbot with Bedrock (Claude, Nova and DeepSeek) + LangChain + Streamlit.☆90Updated 6 months ago
- Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databa…☆148Updated 6 months ago
- A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and other AWS's serveless GenAI solution.☆116Updated 2 months ago
- 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 10 months ago
- ☆253Updated last year
- An agent based LLM assistant that extends RAG with batch entity extraction and SQL querying to improve performance on multi-step and anal…☆91Updated last year
- Mistral on AWS examples for Bedrock & SageMaker☆82Updated 2 weeks ago
- ☆39Updated 4 months ago
- Use LLMs for building real-world apps☆114Updated 7 months ago
- AWS Generative AI Conversational RAG Reference (Galileo)☆79Updated this week
- Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stac…☆251Updated 5 months ago
- RAG with langchain using Amazon Bedrock and Amazon OpenSearch☆220Updated 8 months ago
- A full-stack serverless RAG workflow. This is thought for running PoCs, prototypes and bootstrap your MVP.☆82Updated 9 months ago
- Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial inte…☆269Updated last month
- Fully managed RAG solution implemented using Knowledge Bases for Amazon Bedrock☆164Updated last month
- Learn how to Quickly build Generative AI applications with Amazon Bedrock☆87Updated last year
- ☆99Updated last week
- End to end example of a Retail Agent implemented with agents for Amazon Bedrock☆34Updated last year
- A demo application that uses Amazon SageMaker manuals and pricing data tables as an example to explore the capabilities of a generative A…☆48Updated last week
- Building a Q&A app (powered by a LLM model) using AWS Bedrock, AWS Kendra, AWS S3 and Streamlit in just a couple of hours☆18Updated last year
- Foundation Model Evaluations Library☆263Updated last month
- Labs for the "Build an agentic LLM assistant on AWS" workshop. A step by step agentic llm assistant development workshop using serverless…☆69Updated 5 months ago
- ☆81Updated last year