S04.01 Vector Databases

We bid farewell to MongoDB

And dive into Vector stores

NLP the basics

To build the context

from text to vectors

Embeddings

• why do we need embeddings
• what are embeddings
• how to generate embeddings

Storing embeddings

Embeddings and vector search in SQL and NoSQL databases

Why do we need a specific type of database for embeddings ?

Demo with weaviate

Given a dataset with textual significance

• generate embeddings
• import into database

Hands on work: build search engine

Choose how to create embeddings

and build a lightweight search engine (streamlit)