📊 Streamline query-focused summarization by constructing knowledge graphs and extracting insights from document corpora with the GraphRAG pipeline.

🗂️ Build a knowledge graph for global query-focused summarization from document corpora using the GraphRAG pipeline, enhancing information synthesis.

Raku package used to efficiently schedule and combine multiple LLM generation steps.

An implementation of the GraphRAG pipeline (based on the 2024 paper "From Local to Global" by Edge et al.) for query-focused summarization of large text corpora.

A curated list of awesome GraphRAG (Graph Retrieval-Augmented Generation) resources, papers, frameworks, tools, and tutorials.

Final project for Graph Database course — medical knowledge graph using Neo4j with LLM Text-to-Cypher, Graph Analytics (PageRank, Louvain), FastRP embeddings, and Graph-Augmented RAG over 100 diseases and 1,612 nodes.

Raku package with different subs and CLI scripts for specific but repeatable LLM-based workflows.