karlospn / building-qa-app-with-aws-bedrock-kendra-s3-and-streamlit
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
Alternatives and similar repositories for building-qa-app-with-aws-bedrock-kendra-s3-and-streamlit:
Users that are interested in building-qa-app-with-aws-bedrock-kendra-s3-and-streamlit are comparing it to the libraries listed below
- ☆45Updated last month
- A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and other AWS's serveless GenAI solution.☆71Updated 2 months ago
- Creating Amazon Bedrock agents with Streamlit Framework☆101Updated last week
- ☆23Updated 6 months ago
- ☆46Updated 9 months ago
- Fully managed RAG solution implemented using Knowledge Bases for Amazon Bedrock☆80Updated this week
- ☆24Updated last week
- Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)☆50Updated 9 months ago
- Building an AWS Solution Architect Agent with Generative AI☆39Updated last year
- Generative AI on AWS Immersion Day☆50Updated 9 months ago
- aws-solutions-library-samples / guidance-for-a-multi-tenant-generative-ai-gateway-with-cost-and-usage-tracking-on-awsThis Guidance demonstrates how to build an internal Software-as-a-Service (SaaS) platform that provides access to foundation models, like…☆70Updated 3 months ago
- End to end example of a Retail Agent implemented with agents for Amazon Bedrock☆33Updated 10 months ago
- This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.☆99Updated 2 months ago
- Advanced RAG patterns on Amazon SageMaker☆14Updated 8 months ago
- Learn how to Quickly build Generative AI applications with Amazon Bedrock☆78Updated 9 months ago
- ☆35Updated this week
- ☆36Updated 2 months ago
- A demo application that uses Amazon SageMaker manuals and pricing data tables as an example to explore the capabilities of a generative A…☆39Updated 2 months ago
- An agent based LLM assistant that extends RAG with batch entity extraction and SQL querying to improve performance on multi-step and anal…☆65Updated 7 months ago
- ☆20Updated last year
- Amazon Bedrock Foundation models with Amazon Opensearch Serverless as a Vector DB☆163Updated last week
- Use LLMs for building real-world apps☆111Updated 2 weeks ago
- Workshop Studio☆145Updated last year
- ☆235Updated 6 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.☆37Updated 3 months ago
- ☆70Updated last week
- How to build an advanced RAG router based assistant with Amazon Bedrock using LLMs, Embeddings model, and Knowledge Bases for Amazon Bedr…☆14Updated last month
- Use natural language to Generate Amazon Athena SQL queries to fetch data.☆59Updated 2 months ago
- A Python framework for multi-modal document understanding with Amazon Bedrock☆58Updated 2 weeks ago
- Repository for training and deploying Generative AI models, including text-text, text-to-image generation and prompt engineering playgrou…☆138Updated 6 months ago