Next steps

After reading this theoretical overview of Weaviate, you may be interested in getting hands-on. If so, we recommend you to check out one of the Python or TypeScript/JavaScript courses in the Academy.

We have the following beginner courses available for Python:

• 101T Work with: Text data
• 101V Work with: Your own vectors
• 101T Work with: Multimodal data

And for TypeScript/JavaScript:

• Introduction to Weaviate with TypeScript

Academy

• Named vectors: Learn how to use named vectors to flexibly represent data in Weaviate.
• Which search is right for me?: Learn about the different types of searches in Weaviate and when to use them.
• Chunking: Learn how to use chunking to optimize your search for longer documents.

Documentation

• How-to guides
  • How-to: manage data: Code examples for create, update and delete operations.
  • How-to: search: Code examples for all types of search operations.
  • How-to: configure Weaviate: Guides for configuring Weaviate, such as PQ and BQ compression, backups and replication.
• Concepts guides: Guides for understanding Weaviate's architecture and concepts.
• API reference: Detailed information about Weaviate's APIs.

Stay in touch!

We are constantly improving our documentation, so please keep an eye out for new resources and updates, by signing up for our newsletter or following us on social media (Twitter, LinkedIn).

See you soon! 👋

Questions and feedback

If you have any questions or feedback, let us know in the user forum.

• Technical questions
• Documentation feedback