From 7fdaac44773e1da848131e674b7952cd135e70da Mon Sep 17 00:00:00 2001
From: Daniel Chalef <131175+danielchalef@users.noreply.github.com>
Date: Tue, 27 Aug 2024 10:59:29 -0700
Subject: [PATCH] Update README.md

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 README.md | 15 +++++++++++----
 1 file changed, 11 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index 389a4bab..3a97b4ec 100644
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 ## Temporal Knowledge Graphs for Agentic Applications
 
+<br />
+
 [![Discord](https://dcbadge.vercel.app/api/server/W8Kw6bsgXQ?style=flat)](https://discord.com/invite/W8Kw6bsgXQ)
 [![Lint](https://github.com/getzep/graphiti/actions/workflows/lint.yml/badge.svg)](https://github.com/getzep/graphiti/actions/workflows/lint.yml)
 [![Unit Tests](https://github.com/getzep/graphiti/actions/workflows/unit_tests.yml/badge.svg)](https://github.com/getzep/graphiti/actions/workflows/unit_tests.yml)
 [![MyPy Check](https://github.com/getzep/graphiti/actions/workflows/typecheck.yml/badge.svg)](https://github.com/getzep/graphiti/actions/workflows/typecheck.yml)
 [![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/getzep/graphiti)
 
+<br />
+
 </div>
 
-graphiti builds dynamic, temporally-aware knowledge graphs that represent complex, evolving relationships between entities over time. graphiti ingests both unstructured and structured data and the resulting graph may be queried using a fusion of time, full-text, semantic, and graph algorithm approaches.
+graphiti builds dynamic, temporally aware knowledge graphs that represent complex, evolving relationships between entities over time. graphiti ingests both unstructured and structured data and the resulting graph may be queried using a fusion of time, full-text, semantic, and graph algorithm approaches.
+
+<br />
 
+ 
 <p align="center">
-    <br />
-    <img src="/images/graphiti-intro-slides-stock-2.gif" alt="graphiti demo slides" width="750px">
-    </br />
+    <img src="/images/graphiti-intro-slides-stock-2.gif" alt="graphiti demo slides" width="700px">   
 </p>
 
+<br />
+ 
 With graphiti, you can build LLM applications such as:
 
 - Assistants that learn from user interactions, fusing personal knowledge with dynamic data from business systems like CRMs and billing platforms.