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Weaviate

Weaviate is an AI-native vector database with built-in ML models for hybrid search, RAG, and semantic retrieval over scraped content.

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Weaviate is an AI-native, open-source vector database with built-in machine learning model support.

Key Features:

  • Built-In Vectorization — Automatically generate embeddings using integrated ML models at import time.
  • Hybrid Search — Combine vector similarity with keyword search for optimal retrieval accuracy.
  • GraphQL API — Query your data with a flexible, developer-friendly GraphQL interface.
  • Multi-Tenancy — Isolate data for different projects or clients within a single cluster.
  • Modular Architecture — Plug in custom vectorizers, rerankers, and generative modules as needed.

Whether you're building semantic search over scraped documents, powering RAG applications, or creating intelligent content discovery, Weaviate provides the AI-native foundation your search needs.

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