From 80d4d5b0d50056cd89e347789d489896f0b39275 Mon Sep 17 00:00:00 2001
From: DavIvek <ivekovicdavid22@gmail.com>
Date: Thu, 26 Jun 2025 16:26:51 +0200
Subject: [PATCH] Add Memgraph into README.md

---
 README.md | 35 +++++++++++++++++++++++++++++++++++
 1 file changed, 35 insertions(+)

diff --git a/README.md b/README.md
index 617dc5e6..2068f205 100644
--- a/README.md
+++ b/README.md
@@ -854,6 +854,41 @@ rag = LightRAG(
 
 </details>
 
+<details>
+<summary> <b>Using Memgraph for Storage</b> </summary>
+
+* Memgraph is a high-performance, in-memory graph database compatible with the Neo4j Bolt protocol.
+* You can run Memgraph locally using Docker for easy testing:
+* See: https://memgraph.com/download
+
+```python
+export MEMGRAPH_URI="bolt://localhost:7687"
+
+# Setup logger for LightRAG
+setup_logger("lightrag", level="INFO")
+
+# When you launch the project, override the default KG: NetworkX
+# by specifying kg="MemgraphStorage".
+
+# Note: Default settings use NetworkX
+# Initialize LightRAG with Memgraph implementation.
+async def initialize_rag():
+    rag = LightRAG(
+        working_dir=WORKING_DIR,
+        llm_model_func=gpt_4o_mini_complete,  # Use gpt_4o_mini_complete LLM model
+        graph_storage="MemgraphStorage", #<-----------override KG default
+    )
+
+    # Initialize database connections
+    await rag.initialize_storages()
+    # Initialize pipeline status for document processing
+    await initialize_pipeline_status()
+
+    return rag
+```
+
+</details>
+
 ## Edit Entities and Relations
 
 LightRAG now supports comprehensive knowledge graph management capabilities, allowing you to create, edit, and delete entities and relationships within your knowledge graph.