awslabs / genai-bedrock-chatbot
A demo application that uses Amazon SageMaker manuals and pricing data tables as an example to explore the capabilities of a generative AI chatbot.
☆40Updated 4 months ago
Alternatives and similar repositories for genai-bedrock-chatbot:
Users that are interested in genai-bedrock-chatbot are comparing it to the libraries listed below
- A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and other AWS's serveless GenAI solution.☆83Updated 4 months ago
- Creating Amazon Bedrock agents with Streamlit Framework☆106Updated last month
- ☆37Updated 4 months ago
- This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.☆111Updated 3 weeks ago
- ☆50Updated last week
- AWS Generative AI Conversational RAG Reference (Galileo)☆75Updated this week
- Deploy generative AI agents in your contact center for voice and chat using Amazon Connect, Amazon Lex, and Amazon Bedrock Knowledge Base…☆34Updated 4 months ago
- Use natural language to Generate Amazon Athena SQL queries to fetch data.☆69Updated 4 months ago
- ☆54Updated 5 months ago
- ☆43Updated last month
- End to end example of a Retail Agent implemented with agents for Amazon Bedrock☆33Updated last year
- This Guidance demonstrates how to create an intelligent manufacturing digital thread through a combination of knowledge graph and generat…☆21Updated 3 months ago
- ☆46Updated this week
- Learn how to quickly build Agents with Amazon Bedrock☆80Updated 11 months ago
- Streamlit exmaples with LLM from Bedrock☆19Updated 7 months ago
- ☆26Updated 8 months ago
- aws-solutions-library-samples / guidance-for-natural-language-queries-of-relational-databases-on-awsDemonstration of Natural Language Query (NLQ) of an Amazon RDS for PostgreSQL database, using SageMaker JumpStart, Amazon Bedrock, LangCh…☆62Updated 5 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.☆38Updated 5 months ago
- ☆24Updated last week
- Mistral on AWS examples for Bedrock & SageMaker☆60Updated this week
- How to build an advanced RAG router based assistant with Amazon Bedrock using LLMs, Embeddings model, and Knowledge Bases for Amazon Bedr…☆15Updated 3 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…☆73Updated 5 months ago
- MLOps Pipeline Using SageMaker & CDK, where models are from SageMaker built-in algorithms.☆26Updated last month
- This GitHub repository guides you through building an advanced Conversational AI assistant using AWS services and Anthropic's Claude V2 m…☆28Updated 10 months ago
- ☆28Updated last year
- A full-stack serverless RAG workflow. This is thought for running PoCs, prototypes and bootstrap your MVP.☆68Updated 4 months ago
- ☆47Updated last month
- ☆59Updated 8 months ago
- The repository offers a base implementation of incorporating an Amazon Bedrock based chatbot with Amazon Lex.☆55Updated last year
- Advanced RAG patterns on Amazon SageMaker☆14Updated 9 months ago