Thank you FreeCodeCamp for sharing my course. I am extremely happy that I was able to give back to this amazing community. I hope that you guys enjoy the course.
Amazing video! You did a great job explaining this technology in a clear and accessible way. The demonstration is well-structured, and the practical example make the concept even easier to understand. Thank you Imad!
the shard definition is wrong Elasticsearch don't split the document it self, it split the total number of documents into multiple nods to do not put all the weight in one node that enables horizontal scalability and parallel processing
*into multiple mini-indicies... I believe. Nonetheless, if we consider the splitting of documents across the nodes then it just depends on the schema of how the replication and sharding is handled in the cluster.
Hi , Thanks for the videos . Im new to Elastic Search and this tutorial was very help. I have simple question: can I use something like Kibana to submit searches against embedding models and make it use KNN query though the search bar? if not what UI I can use to help with this? Im trying to avoid building custom UI through which I submit my query through ElasticSearch API
Thank you FreeCodeCamp for sharing my course. I am extremely happy that I was able to give back to this amazing community.
I hope that you guys enjoy the course.
Great Course, Thank you for your effort, ENSAM GIIA-DS Legend.
I used elasticsearch in my personal projets with Spark, hadoop, kafka. This is a good technology !
Amazing video! You did a great job explaining this technology in a clear and accessible way. The demonstration is well-structured, and the practical example make the concept even easier to understand. Thank you Imad!
Thank you for creating this Long time productive content
Damm i am amazed , quality course consecutively
0:01 legendary introduction i have ever seen ❤️🔥❤️🔥❤❤❤
I have not started yet, but thank you in advance for sharing.
Thank you soo much for your efforts Mr. Ehmad..!
Thank you Imad for your efforts 🫶🏻
Dima 🇲🇦 thank you Imad
nice
Much awaited
Ling waited from you guys . Thank you ❤
Exactly what I needed thankuuuu
Enjoy
Thank you for the great tutorial!
Shoutout to people who thought it is a new aws service
Wait, it isn't??
thought it was ice cube's new album..
Also do for the entire ELK stack
awesome!
the shard definition is wrong
Elasticsearch don't split the document it self, it split the total number of documents into multiple nods to do not put all the weight in one node that enables horizontal scalability and parallel processing
*into multiple mini-indicies... I believe.
Nonetheless, if we consider the splitting of documents across the nodes then it just depends on the schema of how the replication and sharding is handled in the cluster.
Sir make full course about prompt engineering
❤
Hi , Thanks for the videos . Im new to Elastic Search and this tutorial was very help. I have simple question: can I use something like Kibana to submit searches against embedding models and make it use KNN query though the search bar? if not what UI I can use to help with this? Im trying to avoid building custom UI through which I submit my query through ElasticSearch API
Yes, Sam. It is possible to use kibana to make queries if you don't want to build a custom UI.
Can you do the video on local llm with MCP protocol
I swear YT is reading my mind. How did you guys know I needed this course? (adjusts tin foil hat)
Hello, I would like to start the course, but it would be easier to start if it had Spanish subtitles. Thank you very much.
You can access auto-translated Spanish subtitles on this video.
20min in and i still have no idea what im watching 😂
Is there any way to get a course certificate?
Please enable auto option in hindi
What is the name of your theme which you use it in Vs code
I am using the Monokai theme in VS Code
Я умный и замечательный, ищу работу
Omg im the 4th person,
Good job, take it to the bank and swap your 4th for a car
U CANT EXPLAIN ELASTIC SEARCH IN 5 HOURS ONLY ELASTIC SEARCH WILL TAKE 20 HOURS TO GO IN DEPTH
Are you saying this sarcastically or do you really mean this? I'm new to Elastic Search
Ahh this is what I need yaas 🙏✨🫶