aws-samples / rag-using-langchain-amazon-bedrock-and-opensearchLinks
RAG with langchain using Amazon Bedrock and Amazon OpenSearch
☆227Updated 11 months ago
Alternatives and similar repositories for rag-using-langchain-amazon-bedrock-and-opensearch
Users that are interested in rag-using-langchain-amazon-bedrock-and-opensearch are comparing it to the libraries listed below
Sorting:
- ☆258Updated last year
- Amazon Bedrock Foundation models with Amazon Opensearch Serverless as a Vector DB☆211Updated 3 weeks ago
- Workshop Studio☆158Updated 2 years ago
- ☆83Updated 2 years ago
- Creating Amazon Bedrock agents with Streamlit Framework☆131Updated 10 months ago
- Use LLMs for building real-world apps☆112Updated 11 months ago
- ☆70Updated last year
- Fully managed RAG solution implemented using Knowledge Bases for Amazon Bedrock☆177Updated 3 weeks ago
- Samples to build Generative AI applications with LangChain and Amazon Kendra☆163Updated 9 months ago
- Opinionated sample on how to build/deploy a RAG web app on AWS powered by Amazon Bedrock and PGVector (on Amazon RDS)☆95Updated 2 months ago
- Repository for training and deploying Generative AI models, including text-text, text-to-image generation and prompt engineering playgrou…☆189Updated last week
- Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial inte…☆309Updated last week
- Learn how to quickly build Agents with Amazon Bedrock☆103Updated last year
- AWS Generative AI Conversational RAG Reference (Galileo)☆80Updated 3 weeks ago
- This repository contains sample code demonstrating various use cases leveraging Amazon Bedrock and Generative AI. Each sample is a separa…☆397Updated this week
- A simple and clear example for implement a chatbot with Bedrock (Claude, Nova and DeepSeek) + LangChain + Streamlit.☆91Updated 9 months ago
- Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stac…☆254Updated 8 months ago
- Generative AI on AWS Immersion Day☆52Updated 7 months ago
- A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and other AWS's serveless GenAI solution.☆124Updated 2 months ago
- Build LangChain Applications on AWS☆266Updated this week
- ☆318Updated 5 months ago
- The repository offers a base implementation of incorporating an Amazon Bedrock based chatbot with Amazon Lex.☆58Updated 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
- ☆54Updated last month
- ☆24Updated 2 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.☆42Updated last year
- 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…☆89Updated last year
- Use natural language to Generate Amazon Athena SQL queries to fetch data.☆95Updated last year
- Build complex, serverless, and highly scalable generative AI applications with prompt chaining.☆314Updated 3 weeks ago
- This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.☆128Updated 10 months ago