Weaviate

Weaviate's journey began with the vision of making vector search accessible to developers. Its evolution into a comprehensive vector database reflects the growing importance of semantic search and neural storage in modern AI applications.
Weaviate

A modern vector database that makes it easy to store and search through data using AI embeddings. It brings vector search capabilities to your applications with minimal setup.

Perfect for beginners who want to:

  • Implement semantic search features
  • Store and query vector embeddings
  • Build AI-powered search systems

Getting Started Tip: Follow their quickstart guide to create your first vector search application.

Difficulty: ⭐⭐⭐ (Intermediate)

  • Vector database concepts required
  • API and data modeling knowledge needed
  • Complex scaling considerations
  • Good documentation but advanced features

Visit Weaviate →
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About the author
Surya

Surya

A technologist and an AI optimist keeping tabs on the development of AI agents and how it has societal impact along with the development.

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