Add chat link to README

README.md

@@ -5,7 +5,7 @@
 
 <p align="center">
   <a href="https://www.apache.org/licenses/LICENSE-2.0"><img src="https://img.shields.io/badge/Apache-2.0-yellow?style=for-the-badge&logo=apache" alt="License" /></a>
-  <a href="https://www.npmjs.com/package/nucleoidjs"><img src="https://img.shields.io/badge/NPM-red?style=for-the-badge&logo=npm" alt="NPM" /></a>
+  <a href="https://www.npmjs.com/package/nucleoidai"><img src="https://img.shields.io/badge/NPM-red?style=for-the-badge&logo=npm" alt="NPM" /></a>
   <a href="https://discord.gg/wN49SNssUw"><img src="https://img.shields.io/badge/Discord-lightgrey?style=for-the-badge&logo=discord" alt="Discord" /></a>
 </p>
 
@@ -21,6 +21,10 @@ D(L)RE is a type of Symbolic AI used for reasoning engine in Neuro-Symbolic AI.
 
 [Nucleoid Chat Video](https://github.com/NucleoidAI/Nucleoid/assets/54210920/813c14fe-43f3-445e-91d8-907433d513de)
 
+<p align="center">
+  <a href="https://nucleoid.ai/chat">https://nucleoid.ai/chat</a>
+</p>
+
 ### Neural Networks: The Learning Component
 
 Neural networks in Neuro-Symbolic AI are adept at learning patterns, relationships, and features from large datasets. These networks excel in tasks that involve classification, prediction, and pattern recognition, making them invaluable for processing unstructured data, such as images, text, and audio. Neural networks, through their learning capabilities, can generalize from examples to understand complex data structures and nuances in the data.
@@ -159,7 +163,7 @@ https://nucleoid.com/ide/sample
 
 > Performance benchmark happened in t2.micro of AWS EC2 instance and both databases had dedicated servers with <u>no indexes and default configurations</u>.
 
-https://github.com/NucleoidJS/benchmark
+https://github.com/NucleoidAI/benchmark
 
 This does not necessary mean Nucleoid runtime is faster than MySQL or Postgres, instead databases require constant maintenance by DBA teams with indexing, caching, purging etc. however, Nucleoid tries to solve this problem with managing logic and data internally. As seen in the chart, for applications with average complexity, Nucleoid's performance is close to linear because of on-chain data store, in-memory computing model as well as limiting the IO process.
 
@@ -169,17 +173,17 @@ This does not necessary mean Nucleoid runtime is faster than MySQL or Postgres,
 
 Track at [Trello](https://trello.com/b/TZ73H1Fk/nucleoid)
 
-- [x] [Beta](https://www.npmjs.com/package/nucleoidjs) is out
+- [x] [Beta](https://www.npmjs.com/package/nucleoidai) is out
 - [x] ES6 support
 - [ ] ES2018 support
 - [ ] ES2020 support
 - [ ] TypeScript
-- [ ] [IDE](https://github.com/NucleoidJS/IDE) (WiP)
+- [ ] [IDE](https://github.com/NucleoidAI/IDE) (WiP)
 - [ ] Production-ready
 
-Please report an [issue](https://github.com/NucleoidJS/Nucleoid/issues) or ask a question at [Discussions](https://github.com/NucleoidJS/Nucleoid/discussions)
+Please report an [issue](https://github.com/NucleoidAI/Nucleoid/issues) or ask a question at [Discussions](https://github.com/NucleoidAI/Nucleoid/discussions)
 
-Learn more at [nucleoid.com](https://nucleoid.com)
+Learn more at [nucleoid.com](https://nucleoid.ai)
 
 <br/>
 
@@ -205,4 +209,4 @@ Thanks to declarative programming, we have a brand-new approach to data and logi
 
 <br/>
 
-Generated by <a href="https://github.com/NucleoidJS/NucBot">NucBot</a>
+Generated by <a href="https://github.com/NucleoidAI/NucBot">NucBot</a>