This story was originally published on HackerNoon at:
https://hackernoon.com/unlocking-precision-in-rag-applications-harnessing-knowledge-graphs-with-neo4j-and-langchain.
Explore a practical guide for constructing and retrieving information from knowledge graphs in RAG applications with Neo4j and LangChain.
Check more stories related to machine-learning at:
https://hackernoon.com/c/machine-learning.
You can also check exclusive content about
#retrieval-augmented-generation,
#knowledge-graph,
#graphrag,
#rag-applications,
#neo4j,
#llmgraphtransformer,
#langchain,
#good-company, and more.
This story was written by:
@neo4j. Learn more about this writer by checking
@neo4j's about page,
and for more stories, please visit
hackernoon.com.
This blog post shows how to create a knowledge graph using LangChain. The code is available on GitHub. You need to set up a Neo4j instance. For this demonstration, we will use [Elizabeth I’s] Wikipedia page. We can use [LangChain loaders] to fetch and split the documents from Wikipedia.