diff --git a/README.md b/README.md
index 964c7eb..53c5d48 100644
--- a/README.md
+++ b/README.md
@@ -34,6 +34,8 @@ With graphiti, you can build LLM applications such as:
 
 graphiti supports a wide range of applications in sales, customer service, health, finance, and more, enabling long-term recall and state-based reasoning for both assistants and agents.
 
+<br />
+
 ## Why graphiti?
 
 graphiti is designed for dynamic data and agentic use:
@@ -45,12 +47,16 @@ graphiti is designed for dynamic data and agentic use:
 - **Fast**: Search results in < 100ms, with latency primarily determined by the 3rd-party embedding API call.
 - **Schema Consistency**: Maintains a coherent graph structure by reusing existing schema, preventing unnecessary proliferation of node and edge types.
 
+<br />
+
 ## graphiti and Zep Memory
 
 graphiti powers the core of Zep's next-generation memory layer for LLM-powered Assistants and Agents.
 
 We're excited to open-source graphiti, believing its potential reaches far beyond memory applications.
 
+<br />
+
 ## Installation
 
 Requirements:
@@ -72,6 +78,8 @@ or
 
 `poetry add graphiti-core`
 
+<br />
+
 ## Quick Start
 
 > [!IMPORTANT]
@@ -136,6 +144,8 @@ await client.search('Who was the California Attorney General?', center_node_uuid
 graphiti.close()
 ```
 
+<br />
+
 ## Documentation
 
 ### Adding Episodes
@@ -340,6 +350,8 @@ print_facts(results)
 > The Allbirds Wool Runners are sold by Allbirds.
 ```
 
+<br />
+
 ## Status and Roadmap
 
 graphiti is under active development. We aim to maintain API stability while working on:
@@ -354,6 +366,7 @@ graphiti is under active development. We aim to maintain API stability while wor
 - [ ] Enhancing retrieval capabilities with more robust and configurable options
 - [ ] Expanding test coverage to ensure reliability and catch edge cases
 
+<br />
 
 ## Contributing