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Programming Throwdown

177: Vector Databases

Programming Throwdown

Patrick Wheeler and Jason Gauci

Objective C, Tech News, Programming Languages, News, Education, How To, C, Python, Programming Throwdown, Java

4.5610 Ratings

🗓️ 4 November 2024

⏱️ 88 minutes

🧾️ Download transcript

Summary

Patrick and Jason explain vector databases by starting with embeddings, similarity metrics, and approximate nearest-neighbor search. They discuss how these systems store and query high-dimensional vectors and where tools like pgvector, Weaviate, Pinecone, and Milvus fit.

Transcript

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0:00.0

Programming Throwdown Episode 177 Vector Databases.

0:20.4

Take it away, Patrick. Welcome everyone to another episode. We have a great

0:25.9

topic today. I'm excited to learn. It's legitimately something that I hear all about, but I don't

0:30.5

know too much about. So we're going to have teacher Jason joining us here at a minute.

0:33.8

That's right. We had teacher Patrick for your you know, compilers and interpreters,

0:38.2

and then we have now teacher Jason for vector dbs. I feel like we should have called ourselves

0:42.3

professors. We have missed opportunity there. Oh, that's right. Is there anything higher,

0:45.8

distinguished emeritus professor, emeritus, ermerti? Okay. What's the highest level professor, you know,

0:56.6

Ty?

0:56.9

Chat and GPT.

0:58.0

Can you?

1:00.1

Soul emperor of the knowledge universe.

1:05.1

Oh, but what if it thinks it's the smartest?

1:08.4

It's going to tell you a lie because, like,

1:10.8

it doesn't want you to be

1:11.7

superior. Okay. Anyway, no, sorry. Oh, you know, I have this plan now when, um, you know, when I get

1:16.5

these calls from people telling me that like my, my taxes are overdue or I should buy car insurance or

1:23.3

whatever. What I've started doing is asking it questions about particle physics. And when it gives me

1:29.1

really good answers, I'm like, aha, this is chat GPT. This is not even a real person. A particle

1:35.1

physicist could work in a call center. Okay. Yeah. I mean, I had to go looking for a car and they legitimately like, you know, want your phone number, whatever.

1:47.0

So I just have one of the like, you know, I guess like it's a voice over IP number, but it doesn't actually like ring through or whatever.

1:55.0

And the place, one of the places I went has called me twice a day every day for going on two weeks now.

...

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