![](https://dist.neo4j.com/wp-content/uploads/20240710060842/graphrag-neo4j-langchain.png)
Implementing ‘From Local to Global’ GraphRAG with Neo4j and LangChain: Constructing the Graph
Jul 09 22 mins read
Learn how to combine text extraction, network analysis, and LLM prompting and summarization for improved RAG accuracy. Read more →
Learn how to combine text extraction, network analysis, and LLM prompting and summarization for improved RAG accuracy. Read more →
Learn how to build a GraphRAG application almost entirely in Cypher, using knowledge graphs and vector search in Neo4j. Read more →
Learn how to perform entity deduplication and custom retrieval methods using LlamaIndex to increase GraphRAG accuracy. Read more →
Extract and use knowledge graphs in your GenAI applications with the LLM Knowledge Graph Builder in just five minutes. Read more →
The Neo4j GraphRAG Ecosystem Tools make it easy to develop GenAI applications grounded with knowledge graphs. Read more →
Learn how we build a context-rich chatbot to answer Mahabharata questions using knowledge graphs and retrieval-augmented generation (RAG). Read more →
In the 27 episodes of our Going Meta livestream series, Jesús Barrasa and I explored the many aspects of semantics, ontologies, and knowledge graphs. Read more →