LLM Knowledge Graph Builder: From Zero to GraphRAG in Five Minutes
Blog post from Neo4j
The Neo4j LLM Knowledge Graph Builder is an innovative online application that transforms unstructured text into a knowledge graph with no code and no Cypher, providing a "magical text-to-graph" experience. It uses ML models (LLMs) to extract entities and relationships from PDFs, web pages, YouTube videos, and other sources, and constructs a graph format using Neo4j's capabilities. The application provides a seamless user interface for data ingestion, entity recognition, graph construction, and visualization of the generated knowledge graph. With its Retrieval-Augmented Generation (RAG) chatbot, users can interact with their data in a natural language query and receive explainable insights into their data. The LLM Knowledge Graph Builder is part of Neo4j's GraphRAG Ecosystem Tools and offers friction-free access to this powerful technology for GenAI applications.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 20 | 3,003 | 371 | 151 | +0% |
| RAG | 8 | 1,199 | 188 | 71 | +35% |
| Data Pipeline | 1 | 431 | 151 | 67 | -20% |
| Vector Search | 1 | 1,783 | 228 | 85 | +36% |
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