A tiny 1000 line implementation of the GraphRAG algorithm using only language models that run locally. This implementation is designed to be easy to be easily understandable, hackable and forkable and ...

# clone this repo first cd nano-graphrag pip install -e . If you're using Azure OpenAI API, refer to the .env.example to set your azure openai. Then pass GraphRAG(...,using_azure_openai=True,...) to ...

When we first launched GraphRAG, most config was done using environment variables, which could be daunting, given the many options available. We’ve reduced the friction on setup by adding an init ...

Editor’s note, Apr. 2, 2024 – Figure 1 was updated to clarify the origin of each source. Perhaps the greatest challenge – and opportunity – of LLMs is extending their powerful capabilities to solve ...

What if your AI could not only retrieve information but also uncover the hidden relationships that make your data truly meaningful? Traditional vector-based retrieval methods, while effective for ...