llm-graph

📊 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.

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

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.

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

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.