graphrag and graphrag-ui
GraphRAG UI is a complementary frontend interface that extends the core GraphRAG system by providing a user-friendly web interface and local LLM integration via Ollama, designed to be used together rather than as an alternative.
About graphrag
microsoft/graphrag
A modular graph-based Retrieval-Augmented Generation (RAG) system
This system helps you make sense of large amounts of unstructured text data, like research papers or internal documents. It processes your text to identify key entities and relationships, outputting a structured knowledge graph that your AI can then use to answer complex questions or find insights more effectively. This is designed for researchers, analysts, or anyone who needs to extract precise information and reasoning from extensive narrative data using large language models.
About graphrag-ui
wade1010/graphrag-ui
The latest graphrag interface is used, using the local ollama to provide the LLM interface.Support for using the pip installation
This tool helps you organize and ask questions about large collections of text documents, such as research papers, internal company reports, or customer feedback. You feed it your text data, and it processes it to build a 'knowledge graph'. You can then ask natural language questions and receive answers derived from your documents, explained by a large language model. This is ideal for researchers, analysts, or anyone who needs to quickly extract insights from extensive text data.
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