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Weaviate

A database that finds information by meaning, not just keywords, used to power AI search and chatbots.

What it does

Weaviate is a "vector database". It stores data together with vectors, lists of numbers that capture the meaning of text or images, so you can search by meaning rather than exact words.

It combines meaning-based search with keyword filters, and supports RAG (retrieval-augmented generation, where an AI looks up facts before answering). Common uses include semantic search, image search, recommendations and chatbots.

It can create vectors automatically using AI models from providers like OpenAI, Cohere and Hugging Face, and runs with Docker, Kubernetes or as a cloud service.

Who it's for

Developers building AI search, recommendation or chatbot features.

Can I use it without coding?

Developers only. Runs as a server (often in Docker) and is used through programming libraries. New to this? Start here.

Can I run it?

Cost
FreeNothing to pay or sign up for.
Runs on
Server, Cloud
Privacy
Your choice: run it on your device or use an online service
API key
Not needed

Try it

Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?

Before you install

  • Only download from the official GitHub page. Copies with similar names exist for many popular projects.
  • No standard license listed. Check the GitHub page before using it for business.
  • More on staying safe

Where people are talking about it