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Unlocking Precision in RAG Applications: Harnessing Knowledge Graphs with Neo4j and LangChain
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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.
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