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Course

Hands-on Weaviate with Python

Build your first Weaviate project to store and search data, and perform retrieval-augmented generation (RAG) with generative AI models.

Level
Beginner
Duration
1 hour(s)
Learning Paths
AI Developer

What you'll be able to do:

  • •
    Create an instance of Weaviate for you to use
  • •
    Produce, store and index semantic (vector) data from source text
  • •
    Perform semantic, keyword and hybrid searches
  • •
    Use generative AI models to augment and transform retrieved data

Prerequisites:

wa050-py

Course Content

1

Set up Weaviate

Set up your development environment and create a Weaviate instance to work with.

2

Populate the database

Create a collection and import data, and have Weaviate create vectors for you.

3

Perform searches

Learn how to use search functions in Weaviate.

4

LLMs and Weaviate (RAG)

Use generative AI models to augment and transform retrieved data.