From 775e208f2e818f61796e4871218373b5ea8767ff Mon Sep 17 00:00:00 2001 From: Tomaz Bratanic Date: Fri, 11 Jul 2025 19:17:41 +0200 Subject: [PATCH] Fix TDS links --- src/content/docs/concepts/intro-to-graphrag.md | 2 +- src/content/docs/reference/graphrag/cypher-templates.md | 2 +- .../reference/graphrag/global-community-summary-retriever.md | 2 +- src/content/docs/reference/graphrag/text2cypher.md | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/src/content/docs/concepts/intro-to-graphrag.md b/src/content/docs/concepts/intro-to-graphrag.md index 481e178..4e4a233 100644 --- a/src/content/docs/concepts/intro-to-graphrag.md +++ b/src/content/docs/concepts/intro-to-graphrag.md @@ -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/) diff --git a/src/content/docs/reference/graphrag/cypher-templates.md b/src/content/docs/reference/graphrag/cypher-templates.md index bcc2a23..b47da88 100644 --- a/src/content/docs/reference/graphrag/cypher-templates.md +++ b/src/content/docs/reference/graphrag/cypher-templates.md @@ -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 diff --git a/src/content/docs/reference/graphrag/global-community-summary-retriever.md b/src/content/docs/reference/graphrag/global-community-summary-retriever.md index 8104217..ba1ab1f 100644 --- a/src/content/docs/reference/graphrag/global-community-summary-retriever.md +++ b/src/content/docs/reference/graphrag/global-community-summary-retriever.md @@ -61,7 +61,7 @@ There are several variations in which you could use the Lexical Graph with extra - [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 diff --git a/src/content/docs/reference/graphrag/text2cypher.md b/src/content/docs/reference/graphrag/text2cypher.md index 6ef8ef5..0581646 100644 --- a/src/content/docs/reference/graphrag/text2cypher.md +++ b/src/content/docs/reference/graphrag/text2cypher.md @@ -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)