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
- ☆50Updated 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…☆41Updated 5 months ago
- Amazon Bedrock Foundation models with Amazon Opensearch Serverless as a Vector DB☆179Updated last week
- Building an AWS Solution Architect Agent with Generative AI☆40Updated last year
- Creating Amazon Bedrock agents with Streamlit Framework☆110Updated last month
- ☆61Updated 9 months ago
- ☆244Updated 9 months ago
- Mistral on AWS examples for Bedrock & SageMaker☆66Updated this week
- This GitHub repository guides you through building an advanced Conversational AI assistant using AWS services and Anthropic's Claude V2 m…☆29Updated 11 months ago
- A full-stack serverless RAG workflow. This is thought for running PoCs, prototypes and bootstrap your MVP.☆69Updated 5 months ago
- Multimodal Chatbot with Amazon Bedrock Knowledge Bases Integration☆24Updated 3 weeks ago
- How to build an advanced RAG router based assistant with Amazon Bedrock using LLMs, Embeddings model, and Knowledge Bases for Amazon Bedr…☆17Updated 4 months ago
- Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)☆57Updated last year
- 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 6 months ago
- Use LLMs for building real-world apps☆110Updated 3 months ago
- ☆54Updated this week
- ☆37Updated 5 months ago
- ☆28Updated 2 months ago
- Learn how to quickly build Agents with Amazon Bedrock☆86Updated last year
- ☆23Updated 2 weeks ago
- ☆26Updated 9 months ago
- Generative AI on AWS Immersion Day☆50Updated 2 months ago
- This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.☆112Updated last month
- ☆49Updated 11 months ago
- A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and other AWS's serveless GenAI solution.☆93Updated 3 weeks ago
- ☆80Updated this week
- 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…☆74Updated 5 months ago
- Samples to build Generative AI applications with LangChain and Amazon Kendra☆162Updated 3 weeks ago
- A Python framework for multi-modal document understanding with Amazon Bedrock☆81Updated this week
- End to end example of a Retail Agent implemented with agents for Amazon Bedrock☆33Updated last year