Тёмный

Vector Search: The Future of Data Querying Explained | Semantic Searching 

MongoDB
Подписаться 89 тыс.
Просмотров 24 тыс.
50% 1

✅ Sign-up for a free cluster at → mdb.link/free-1ZIYVNvRVsY
✅ Get help on our Community Forums → mdb.link/community-1ZIYVNvRVsY
** Support for the '$vectorSearch' aggregation pipeline stage is available with MongoDB Atlas 6.0.11 and 7.0.2. **
Welcome to this comprehensive guide on Vector Search, a revolutionary technique that allows you to search data based on meaning rather than just keywords. If you've ever struggled to find exactly what you're looking for in a database, this video is for you. We'll explore how Vector Search works, its benefits, and how to implement it in MongoDB for a seamless and powerful search experience.
🛠 What You'll Learn
What is Vector Search?: Understand the machine learning models behind Vector Search and how they transform text, audio, images, or other types of data into high-dimensional vectors.
Benefits of Vector Search: Discover why semantic understanding, scalability, and flexibility make Vector Search a must-have feature for modern databases.
MongoDB & Vector Search: Learn how to set up Vector Search in MongoDB Atlas, create triggers with OpenAI API, and perform vector search queries. We'll walk you through each step, from setting up your MongoDB Atlas account to writing JavaScript functions for querying.
📚 Resources 📚
✅ Written article & code → mdb.link/semantic-search-mong...
✅ Vector Search Documentation→ mdb.link/vector-search-1ZIYVN...
✅ OpenAI → platform.openai.com/overview
✅ Create your first FREE MongoDB Atlas Cluster → • Get Your Free MongoDB ...
------
✅ Subscribe to our channel → mdb.link/subscribe

Опубликовано:

 

26 сен 2023

Поделиться:

Ссылка:

Скачать:

Готовим ссылку...

Добавить в:

Мой плейлист
Посмотреть позже
Комментарии : 38   
@MongoDB
✅ Sign-up for a free cluster at →
@mzf11125
Linear Algebra wasn't a waste of time after all
@rudroroy1054
This is just too much. I feel like I am so far behind.
@Masyukun
Don't set your Trigger to trigger off updates too, or you'll create an infinite loop! Also... it's responseCode, not response_code.
@bobuputheeckal2693
This worked for me. But some searches didn’t work as expected. I asked which is the first Bond movie. It gave me a list of bond movies. I understand the vector is only on plot. But can we vectorize the whole document ?
@user-wj3uq3tm8c
What about searching in multiple fields inside a document? Is it possible to embed and search not only the plot of the movie but 20 more properties?
@bobonaqa
So this is only working with dedicated servers and not supported with the serverless option?
@Wooster23
Is there a score or some quantified notion of similarity that can be returned with each result?
@donalshijan5615
I have a question, In this example it's going through plot which was saved as movie data. right? It then queries that plot for similar result, could it be done in a way where it goes through the actual movie and tries to figure out , oh there it is, a boy and a yellow dog, and then return that movie suggesting it might be the one we are referring to.
@isabellesteinhauslin650
Hey there, great content! I code using Pythong but this video provided me direction. Btw, I think there was an up date in the interface of MongoDB and the code for creating a vector search might need to be updated.
@hoangng16
Can we create a new vector search index using code instead of going to the MongoDB UI?
@spectralvalkyrie
Wow I really want to learn to do this!
@user-gy9ig3qj3m
Two Questions:
@user-cd1vg8le7f
cool. i will try it
@emanuelsosa5923
I love that!
@KingAtem1000
Thats pretty cool
@user-xz8bp5eb4d
Love you so much
@user-ip1wg4sg3w
I am really interested in implementing this in my microservices all written with Go.
@Konstantin19877
The search output is an exact text from DB or model twicks it the way it wants?
Далее
OpenAI Embeddings and Vector Databases Crash Course
18:41
Ozoda - JAVOHIR ( Official Music Video )
06:37
Просмотров 1,1 млн
What is Semantic Search?
11:53
Просмотров 23 тыс.
What is a Vector Database?
8:12
Просмотров 51 тыс.
Understanding How Vector Databases Work!
12:25
Просмотров 10 тыс.
I built an image search engine
6:44
Просмотров 284 тыс.
Vectoring Words (Word Embeddings) - Computerphile
16:56
MongoDB Atlas Search: The Restaurant Finder Demo App
20:17
Why are vector databases so FAST?
44:59
Просмотров 10 тыс.
RAG Explained
8:03
Просмотров 36 тыс.