awslabs / graphrag-toolkit
Python toolkit for building graph-enhanced GenAI applications
☆135Updated this week
Alternatives and similar repositories for graphrag-toolkit
Users that are interested in graphrag-toolkit are comparing it to the libraries listed below
Sorting:
- ☆70Updated this week
- This repository contains examples and sample code to help customers get started with using Amazon Neptune in Generative AI applications.☆22Updated last week
- This Guidance demonstrates how to streamline access to numerous large language models (LLMs) through a unified, industry-standard API gat…☆88Updated this week
- A generative AI-powered framework for testing virtual agents.☆230Updated last month
- This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.☆112Updated 2 months ago
- Self-hosting Langfuse on Amazon ECS with Fargate using CDK Python☆47Updated last month
- Build LangChain Applications on AWS☆158Updated this week
- Fully managed RAG solution implemented using Knowledge Bases for Amazon Bedrock☆128Updated last week
- ☆88Updated last week
- Demonstration application showing how Neo4j works with Amazon Bedrock☆54Updated last year
- ☆27Updated last month
- ☆37Updated 2 weeks ago
- ☆95Updated last week
- Demo of Anthropic's open source MCP used with Amazon Bedrock Converse API☆85Updated 5 months ago
- ☆106Updated last month
- Try Artifacts and Code Interpreter Tool with Amazon Bedrock.☆97Updated 3 months ago
- ☆148Updated last month
- Run existing Model Context Protocol (MCP) stdio-based servers in AWS Lambda functions☆145Updated last week
- 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
- A full-stack serverless RAG workflow. This is thought for running PoCs, prototypes and bootstrap your MVP.☆71Updated 5 months ago
- ☆29Updated 3 months ago
- Mistral on AWS examples for Bedrock & SageMaker☆67Updated this week
- ☆43Updated this week
- Cloud-native, AI-powered, document processing pipelines on AWS.☆177Updated last month
- Opinionated sample on how to build/deploy a RAG web app on AWS powered by Amazon Bedrock and PGVector (on Amazon RDS)☆79Updated 4 months ago
- Workshop Studio☆155Updated last year
- Hands on lab for Neo4j and Amazon Bedrock☆49Updated last month
- ☆247Updated 10 months ago
- Run any AWS Lambda function as a Large Language Model (LLM) tool without code changes using Anthropic's Model Context Protocol (MCP).☆99Updated last month
- ☆134Updated 3 weeks ago