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2 changes: 1 addition & 1 deletion src/content/docs/concepts/intro-to-graphrag.md
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Expand Up @@ -115,5 +115,5 @@ In the above example, a vector similarity search is executed on the existing ind
## Further Reading

* [Neo4j GraphAcademy: Build a Neo4j-backed Chatbot using Python](https://graphacademy.neo4j.com/courses/llm-chatbot-python/)
* [Integrating Neo4j into the LangChain ecosystem](https://towardsdatascience.com/integrating-neo4j-into-the-langchain-ecosystem-df0e988344d2)
* [Integrating Neo4j into the LangChain ecosystem](https://medium.com/data-science/integrating-neo4j-into-the-langchain-ecosystem-df0e988344d2)
* [Neo4j GraphAcademy: Mastering Retrieval-Augmented Generation (RAG)](https://graphacademy.neo4j.com/courses/genai-workshop-graphrag/)
2 changes: 1 addition & 1 deletion src/content/docs/reference/graphrag/cypher-templates.md
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Expand Up @@ -31,7 +31,7 @@ Several domain-specific Cypher queries (containing parameters) and a description

## Further reading

- [Enhancing Interaction between Language Models and Graph Databases via a Semantic Layer](https://towardsdatascience.com/enhancing-interaction-between-language-models-and-graph-databases-via-a-semantic-layer-0a78ad3eba49) (January 2024)
- [Enhancing Interaction between Language Models and Graph Databases via a Semantic Layer](https://medium.com/data-science/enhancing-interaction-between-language-models-and-graph-databases-via-a-semantic-layer-0a78ad3eba49) (January 2024)

## Existing Implementations

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- [From Local to Global:A Graph RAG Approach to Query-Focused Summarization](https://arxiv.org/pdf/2404.16130) (April 2024)
- [Implementing 'From Local to Global' GraphRAG with Neo4j and LangChain: Constructing the Graph](https://neo4j.com/developer-blog/global-graphrag-neo4j-langchain/) (July 2024)
- [Integrating Microsoft GraphRAG into Neo4j](https://towardsdatascience.com/integrating-microsoft-graphrag-into-neo4j-e0d4fa00714c) (July 2024)
- [Integrating Microsoft GraphRAG into Neo4j](https://medium.com/data-science/integrating-microsoft-graphrag-into-neo4j-e0d4fa00714c) (July 2024)
- [Introducing DRIFT Search: Combining global and local search methods to improve quality and efficiency - Microsoft Research](https://www.microsoft.com/en-us/research/blog/introducing-drift-search-combining-global-and-local-search-methods-to-improve-quality-and-efficiency/)

## Existing Implementations
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2 changes: 1 addition & 1 deletion src/content/docs/reference/graphrag/text2cypher.md
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Expand Up @@ -113,7 +113,7 @@ from [Benchmarking Using the Neo4j Text2Cypher (2024) Dataset](https://neo4j.com

## Existing Implementations

- [Integrating Neo4j into the LangChain ecosystem](https://towardsdatascience.com/integrating-neo4j-into-the-langchain-ecosystem-df0e988344d2) (Tomaz Bratanic, April 2024)
- [Integrating Neo4j into the LangChain ecosystem](https://medium.com/data-science/integrating-neo4j-into-the-langchain-ecosystem-df0e988344d2) (Tomaz Bratanic, April 2024)
- [LangChain Cypher Search: Tips & Tricks](https://neo4j.com/developer-blog/langchain-cypher-search-tips-tricks/) (Tomaz Bratanic, June 2024)

- [Langchain: GraphCypherQAChain](https://python.langchain.com/v0.2/docs/integrations/providers/neo4j/#graphcypherqachain)
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