knowledge_graph
View on GitHubConvert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA
Jupyter notebooks extract concepts and relationships from text chunks with a locally hosted LLM, then build and visualize a weighted knowledge graph. The graph can support Graph RAG and document question answering.
Use Cases
Convert text corpora and PDFs into knowledge graphsExplore concept relationships in documentsBuild graph-based retrieval for question answeringVisualize communities and node centrality
Built With
- Language
- Jupyter Notebook
- Frameworks
- LangChain · Ollama · NetworkX · Pyvis
Tags
knowledge graph · Graph RAG · document processing · concept extraction · relationship extraction · PDF · local LLM · graph visualization