ElasticSearch in Python #15 - Dense vector field type

Published: 23 October 2024
on channel: 3CodeCamp
401
7

In this video, I’ll walk you through how to use the dense vector field type in Elasticsearch. Dense vectors are ideal for handling vectors of numeric values that are mostly filled with non-zero entries.

If your data contains few or no zero values, this is the field type to go for. We'll dive deeper into how dense vectors work throughout the video.

In this series, we focus on using the Python client to interact with Elasticsearch.

Here is the link to the GitHub repository:
https://github.com/ImadSaddik/Elastic...

Links to the official documentation:
https://www.elastic.co/guide/en/elast...

Don't forget to like, subscribe, and leave a comment if you have any questions or feedback!

Support us at:
  / 3codecamp  

⭐️ Contents ⭐️
(00:00) Intro + slides
(02:13) Code time
(04:28) The end

#3_code_campers #ElasticSearch #ElasticSearchPython


On this page of the site you can watch the video online ElasticSearch in Python #15 - Dense vector field type with a duration of hours minute second in good quality, which was uploaded by the user 3CodeCamp 23 October 2024, share the link with friends and acquaintances, this video has already been watched 401 times on youtube and it was liked by 7 viewers. Enjoy your viewing!