From 335c27f6a700c3c55689f07304b6b74821b83529 Mon Sep 17 00:00:00 2001 From: Tomaz Bratanic Date: Fri, 14 Feb 2025 20:53:29 +0100 Subject: [PATCH] Fix TDS links --- modules/genai-ecosystem/pages/graphrag.adoc | 2 +- modules/genai-ecosystem/pages/langchain.adoc | 4 ++-- modules/genai-ecosystem/pages/llamaindex.adoc | 2 ++ 3 files changed, 5 insertions(+), 3 deletions(-) diff --git a/modules/genai-ecosystem/pages/graphrag.adoc b/modules/genai-ecosystem/pages/graphrag.adoc index 9b46818..87af362 100644 --- a/modules/genai-ecosystem/pages/graphrag.adoc +++ b/modules/genai-ecosystem/pages/graphrag.adoc @@ -221,7 +221,7 @@ image::https://dist.neo4j.com/wp-content/uploads/20240618104511/build-kg-genai-e // * https://huggingface.co/graphrag[GraphRAG HuggingFace Paper Collection^] // * https://dev.neo4j.com/free-kg-book[(free) Knowledge Graph Book^] * https://neo4j.com/developer-blog/global-graphrag-neo4j-langchain/[Implementing GraphRAG with Neo4j, GDS and LangChain^] -* https://towardsdatascience.com/integrating-microsoft-graphrag-into-neo4j-e0d4fa00714c[Store MSFT GraphRAG output into Neo4j and implement local and global retrievers with LangChain or LlamaIndex^] +* https://medium.com/towards-data-science/integrating-microsoft-graphrag-into-neo4j-e0d4fa00714c[Store MSFT GraphRAG output into Neo4j and implement local and global retrievers with LangChain or LlamaIndex^] * https://www.googlecloudcommunity.com/gc/Cloud-Product-Articles/GenAI-GraphRAG-and-AI-agents-using-Vertex-AI-Reasoning-Engine/ta-p/789066[Deploy Neo4j-LangChain GraphRAG w/ GCP Vertex AI Reasoning Engine^] diff --git a/modules/genai-ecosystem/pages/langchain.adoc b/modules/genai-ecosystem/pages/langchain.adoc index 1674672..32c7c1a 100644 --- a/modules/genai-ecosystem/pages/langchain.adoc +++ b/modules/genai-ecosystem/pages/langchain.adoc @@ -19,7 +19,7 @@ The broad and deep Neo4j integration allows for vector search, cypher generation Here is an overview of the https://python.langchain.com/docs/use_cases/graph/quickstart[Graph Integrations^]. -* https://towardsdatascience.com/integrating-neo4j-into-the-langchain-ecosystem-df0e988344d2[Integrating Neo4j into the LangChain Ecosystem^] +* https://medium.com/towards-data-science/integrating-neo4j-into-the-langchain-ecosystem-df0e988344d2[Integrating Neo4j into the LangChain Ecosystem^] NOTE: When upgrading to LangChain 0.1.0+ make sure to read this article: https://medium.com/neo4j/langchain-v0-1-updating-graphacademy-neo4j-llm-courses-689e7c4eff3e[Updating GraphAcademy Neo4j & LLM Courses to Langchain v0.1^]. @@ -269,7 +269,7 @@ Examples for such tools or functions include: * retrieve the neighbors of a node * retrieve a shortest path between two nodes -* https://towardsdatascience.com/enhancing-interaction-between-language-models-and-graph-databases-via-a-semantic-layer-0a78ad3eba49[ Enhancing Interaction Between Language Models and Graph Databases via a Semantic Layer^] +* https://medium.com/towards-data-science/enhancing-interaction-between-language-models-and-graph-databases-via-a-semantic-layer-0a78ad3eba49[ Enhancing Interaction Between Language Models and Graph Databases via a Semantic Layer^] === Conversational Memory diff --git a/modules/genai-ecosystem/pages/llamaindex.adoc b/modules/genai-ecosystem/pages/llamaindex.adoc index 189fdd7..443ab00 100644 --- a/modules/genai-ecosystem/pages/llamaindex.adoc +++ b/modules/genai-ecosystem/pages/llamaindex.adoc @@ -380,3 +380,5 @@ This https://llamahub.ai/l/tools/llama-index-tools-neo4j[Neo4j Query Engine Llam * https://levelup.gitconnected.com/a-simpler-way-to-query-neo4j-knowledge-graphs-99c0a8bbf1d7[A Simpler Way to Query Neo4j Knowledge Graphs^] * https://medium.com/@yu-joshua/using-llamaparse-for-knowledge-graph-creation-from-documents-3bd1e1849754[Using LlamaParse for Knowledge Graph Creation from Documents^] + +* https://medium.com/neo4j/building-knowledge-graph-agents-with-llamaindex-workflows-b81f8d372f19[Build Knowledge Graph Agents With LlamaIndex Workflows] \ No newline at end of file