Weaviate

Freemium AI & Machine Learning Verified

Open-source vector database supporting hybrid search and generative feedback loops.

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Overview

Weaviate is an AI-native vector database storing both objects and vectors. It supports vector search, BM25 keyword search, and hybrid search with modular machine learning vectorizer integration.

Key Capabilities

  • Hybrid search combining BM25 keyword matching with dense vector similarity
  • Native integrations with OpenAI, Cohere, and Hugging Face model inference
  • GraphQL and REST APIs supporting sub-50ms vector query execution

Ideal Use Cases & Goals

  • “Running enterprise RAG pipelines with combined keyword and vector retrieval”
  • “Multimodal image and text semantic search in eCommerce catalogs”
  • “Automatic classification and entity extraction on unstructured text streams”

Direct Alternatives

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