aws-samples / bedrock-kb-rag-workshopLinks
Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)
☆64Updated last year
Alternatives and similar repositories for bedrock-kb-rag-workshop
Users that are interested in bedrock-kb-rag-workshop are comparing it to the libraries listed below
Sorting:
- Labs for the "Build an agentic LLM assistant on AWS" workshop. A step by step agentic llm assistant development workshop using serverless…☆74Updated last month
- Samples to build Generative AI applications with LangChain and Amazon Kendra☆163Updated 8 months ago
- Creating Amazon Bedrock agents with Streamlit Framework☆131Updated 9 months ago
- ☆257Updated last year
- This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.☆127Updated 9 months ago
- Workshop Studio☆157Updated 2 years 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.☆42Updated last year
- AWS Generative AI Conversational RAG Reference (Galileo)☆80Updated last week
- Use LLMs for building real-world apps☆112Updated 10 months ago
- Learn how to Quickly build Generative AI applications with Amazon Bedrock☆90Updated last year
- ☆42Updated 7 months ago
- Use natural language to Generate Amazon Athena SQL queries to fetch data.☆94Updated last year
- ☆53Updated last year
- A Generative AI Chatbot application to provide personalized travel recommendations using Amazon Redshift and Amazon Bedrock☆55Updated 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…☆92Updated last year
- A simple and clear example for implement a chatbot with Bedrock (Claude, Nova and DeepSeek) + LangChain + Streamlit.☆91Updated 8 months ago
- ☆45Updated 9 months ago
- End to end example of a Retail Agent implemented with agents for Amazon Bedrock☆36Updated last year
- RAG with langchain using Amazon Bedrock and Amazon OpenSearch☆225Updated 11 months ago
- Question Answering Generative AI application with Large Language Models (LLMs) and Amazon OpenSearch Service☆27Updated last year
- Prototyping Generative AI Use Cases with Amazon Bedrock and Langchain☆107Updated this week
- Learn how to quickly build Agents with Amazon Bedrock☆102Updated last year
- Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databa…☆149Updated 9 months ago
- A full-stack serverless RAG workflow. This is thought for running PoCs, prototypes and bootstrap your MVP.☆86Updated last year
- ☆133Updated last week
- ☆54Updated 3 months ago
- ☆49Updated 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…☆53Updated last month
- Learn to build custom prompts and tools for LangChain agents☆40Updated last year
- Fully managed RAG solution implemented using Knowledge Bases for Amazon Bedrock☆175Updated last week