What Are Vector Databases? πŸ” Explained

Discover how vector databases enhance long-term memory for LLMs like GPT-4 and LLaMA, fueling AI's rapid growth.

What Are Vector Databases? πŸ” Explained
Fireship
1.1M views β€’ Apr 7, 2023
What Are Vector Databases? πŸ” Explained

About this video

Vector databases are rapidly growing in popularity as a way to add long-term memory to LLMs like GPT-4, LLaMDA, and LLaMA. Learn how popular vector databases like Pinecone and Weaviate can store ML embeddings to integrate with tools like ChatGPT.

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πŸ”— Resources

Full Vector DB tutorial coming soon on @beyondfireship
Rektor https://github.com/codediodeio/rektor-db
OpenAI Embeddings https://platform.openai.com/docs/guides/embeddings
Weaviate GitHub https://github.com/weaviate/weaviate
Chroma GitHub https://github.com/chroma-core/chroma


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πŸ”– Topics Covered

- What is a vector in computer science?
- VC funding of databases news
- What are ML embeddings?
- What is a vector database?
- Vector database vs SQL
- Are vector databases fast?
- How to make custom chatGPT app
- Vector database basics tutorial
- Trending github repos about AGI

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Video Information

Views

1.1M

Likes

42.1K

Duration

3:22

Published

Apr 7, 2023

User Reviews

4.8
(216)
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