• Vector databases explained
• What is Unstructured data?
• When to use vector databases
• Embeddings.
• Use-cases
All you need to know in under 10 tweets.
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Why do we even need a database?
→ We have data that we want to store.
Relational databases (like Postgres) or No-SQL databases (AWS DynamoDB) can store structured data but there is one inherent problem.
→ Unstructured data is hard to store in relational databases.
What is Unstructured data?
→ Things like: Images, Audio, Documents, PDFs etc.
Image you want to find what's the best book recommendation if I you "Catcher in the Rye." This is impossible with a relational database.
→ This is where embeddings & vector databases come in.
Here's a Caveman explanation:
→ Vector databases allow us to use to search across unstructured data (images, video, audio) by their content
What are some use-cases for having a vector database?
• Recommendation ( Netflix movie recommendation)
• Find similar images ("Find similar images with dogs in it")
• Find related documents ("Find other documents that talk about love")
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