Weaviate
Open-source vector DB
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Data Infrastructure Open-source vector DB
Running vector search with optional built-in vectorization — Weaviate can call embedding models (OpenAI, Cohere, Hugging Face) automatically when you insert or query data, removing the need to manage embedding pipelines separately. It supports hybrid search combining vector similarity with keyword filtering.
Run Weaviate locally with Docker (docker compose up) or create a managed cluster at weaviate.io/cloud. Install the weaviate-client Python package and connect to your instance. Configure a schema with a vectorizer module (e.g., text2vec-openai) to enable automatic embedding generation.
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