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Weaviate

AI-native vector database for search, RAG and agent memory

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🎬 Product Demos & Video Guides

2 Videos

Watch these curated walkthroughs to master Weaviate from beginner setup to advanced features:

1. Mastering Vector Databases with Weaviate l Basic to Advance | Generative AI Series (Code Commander)

2. How to set up Weaviate Embedded with Python (Weaviate vector database)

FreemiumVector Databases

Weaviate (weaviate.io) Review

Weaviate is an open-source, AI-native vector database for search, retrieval-augmented generation, and agent memory. It offers vector indexing, built-in vectorization, hybrid search, and SDKs for Python, Go, TypeScript, and JavaScript. It can run as a managed cloud service or self-hosted.

Weaviate homepage at weaviate.io, captured 29 October 2026
Weaviate homepage at weaviate.io, captured on 29 October 2026. Live interface and offers can change after that date.

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Key Capabilities & Features

  • •Open-source, AI-native vector database
  • •Vector search and retrieval-augmented generation
  • •Built-in vectorization modules
  • •Query Agent for natural-language queries
  • •Engram for personalized AI memory
  • •Python, Go, TypeScript and JavaScript SDKs

Pricing, Access & Specs

How we check pricing: every figure here is read from the vendor's own pricing page, with the check date shown on this page. Where a vendor publishes no figure, we say so instead of estimating.
Pricing ModelFreemium
PaymentNo Card Req.
API AccessAvailable
Verified ScoreNot yet rated

✓ Strengths & Highlights

  • Vector Databases

✕ Potential Drawbacks

  • Plan limits change; confirm current terms on the official pricing page.

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