aws-samples / generative-bi-using-rag
A solution guidance for Generative BI using Amazon Bedrock, Amazon OpenSearch with RAG
☆136Updated 4 months ago
Alternatives and similar repositories for generative-bi-using-rag:
Users that are interested in generative-bi-using-rag are comparing it to the libraries listed below
- aws-solutions-library-samples / guidance-for-custom-search-of-an-enterprise-knowledge-base-with-amazon-opensearch-serviceThis Guidance demonstrates how to build an application for search based on the information in an enterprise knowledge base through the de…☆14Updated this week
- Seamlessly invoke Amazon Bedrock or your custom models, enabling a smooth experience with AWS GenAI services.☆70Updated this week
- This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.☆102Updated 3 months ago
- ☆27Updated last week
- ☆57Updated last month
- A simple and clear example for implement a chatbot with Bedrock (Claude, Mistral and Nova) + LangChain + Streamlit.☆73Updated last month
- ☆236Updated 7 months ago
- Creating Amazon Bedrock agents with Streamlit Framework☆104Updated 3 weeks ago
- Use natural language to Generate Amazon Athena SQL queries to fetch data.☆62Updated 3 months ago
- Amazon Bedrock Foundation models with Amazon Opensearch Serverless as a Vector DB☆167Updated 2 weeks ago
- ☆71Updated 2 weeks ago
- A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and other AWS's serveless GenAI solution.☆75Updated 3 months ago
- Fully managed RAG solution implemented using Knowledge Bases for Amazon Bedrock☆93Updated 2 weeks ago
- An agent based LLM assistant that extends RAG with batch entity extraction and SQL querying to improve performance on multi-step and anal…☆68Updated 7 months ago
- ☆103Updated last month
- AWS Generative AI Conversational RAG Reference (Galileo)☆73Updated last week
- Learn how to quickly build Agents with Amazon Bedrock☆75Updated 10 months ago
- Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)☆51Updated 10 months ago
- ☆36Updated this week
- ☆59Updated 7 months ago
- ☆36Updated 3 months ago
- Prototyping Generative AI Use Cases with Amazon Bedrock and Langchain☆88Updated last month
- ☆47Updated 2 months ago
- Build LangChain Applications on AWS☆130Updated this week
- End to end example of a Retail Agent implemented with agents for Amazon Bedrock☆33Updated 11 months ago
- Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial inte…☆203Updated 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.☆37Updated 3 months ago
- Workshop Studio☆148Updated last year
- A generative AI-powered framework for testing virtual agents.☆170Updated last month
- ☆44Updated 2 weeks ago