Vector Databases simply explained! (Embeddings & Indexes)

Vector Databases simply explained. Learn what vector databases and vector embeddings are and how they work. Then I'll go over some use cases for it and I briefly show you different options you can use.

Resources:

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00:00 - Intro
00:44 - Why do we need vector databases
01:29 - Vector embeddings and indexes
02:58 - Use cases
03:45 - Different vector databases

Vector Database Options:
- Pinecone
- Weaviate
- Chroma
- Redis
- Qdrant
- Milvus
- Vespa

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#MachineLearning #DeepLearning

[ChrisBrogan]

I just watched an IBM explanation of vector databases and came away lost. Then I watched yours, and got it right away. Point goes to you. ;)

[bobsavage]

Yes, a video describing available VDBs in terms of, e.g. Open/Closed, simplicity of operation, and user interaction patterns (quality/expressiveness of API) would be great!

[matt_]

Definitely! I'd love to see comparable benchmarks for common LLM and other tasks (i.e. transfer learning, use-cases in the context of fine-tuning, etc)

[MrVliegendepater]

Interested in a comparison video between the different types of vector databases! Really well explained and to the point!

[nickstaresinic]

The concise, high-level explainer that I needed. Thanks.

[jollyme]

Yes please, more on this topic, I would appreciate it.

[vincerocchi]

Love your work Patrick. Definitely would like to see more on vector databases, especially when you would use one over an array or other options and the pros and cons of some of the types you mentioned (I.e. Pinecone, Milvus, etc.)

[DanielTorres-gduf]

Let's see the more in depth comparison! Also would love to know your take on where it will go? Are they able to automatically generate vectors for your multimodal data already? Are there known companies using vector databases currently? Are there lightweight alternatives to the services you offered? (ie. a numpy verision of a vector database?)

[jonmichaelgalindo]

Straight forward and simple. Thanks! 😊

[maneeshs]

Nice summary on Vector databases. A comparison of Graph and Vector databases with specific use cases would also help. Thank you

[alexfowler]

Great video, thanks! Short and exactly on point -- much appreciated.
Yeah, it'd be cool to see more in-depth comparison of the dbs.

[etownrule]

Finally, a sensible explanation. Crystal clear, thanks

[brunomesquitazamberlan]

Very useful. Now I can imagine what is a vector database. Thanks

[hfrqqev]

Thank you, nice and short overview to get an idea of what a vector db is.

[karthickmj]

Thank you so much, Patrick. Would love to watch a video detailing and comparing all VDBs.

[ThomasLapperre]

This was a very clear explanation. Thank you!

[ksnydertube]

Thank you for this video - just what I needed! If you haven't done one already, please do an explainer comparing. 🙏

[lesegotsheole]

New to this world of machine learning I have to say job well done on explaining in simple terms. This was insightful and had pleasure watching it. Thanks!

[otto.bjorkland]

It would be great if you explained how to use vector databases to give LLM's long term memory! 🙏

[rezaru]

Thanks, this is what I needed to understand the overall idea of vector db.