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#vectorsearch

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We are so excited about the #vector indexes that we wanted to try it on #GraphAcademy.

Check out how Adam Cowley used the vector indexes in Neo4j Aura to power a Chatbot on GraphAcademy.

🔐 At the moment, the #chatbot is only enabled for specific users, but we have the solution if you want to give it a try :)

▶️ Register in GraphAcademy, and we will enable it for you.
▶️ If you already have an account, message graphacademy@neo4j.com, and we will enable it, too!

https://bit.ly/3sqIHPr

#chatbot #vectorsearch
Graph Database & AnalyticsBuilding an Educational Chatbot for GraphAcademy With Neo4jLearn how Adam built an educational chatbot for GraphAcademy with Neo4j using Large Language Models and vector search.
🎉 Exciting new milestone: Neo4j adds vector search capability within its native Graph Database for richer Generative AI Insights!

Available to all Neo4j customers, vector search provides a simple approach for quickly finding contextually related information and, in turn, helps teams uncover hidden relationships.

It's fully integrated into Neo4j AuraDB and Neo4j Graph Database! Read more about this exciting news:

https://bit.ly/3E2GLPX

#Neo4j #vector #vectorsearch #GenerativeAI
Graph Database & Analytics​​Neo4j’s Vector Search: Unlocking Deeper Insights for AI-Powered Applications - Graph Database & AnalyticsNeo4j vector search provides a simple approach for quickly finding contextually related information and uncovering hidden relationships.
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