Weaviate
🇺🇸United StateslaunchedVerifiedOpen-source AI-native vector database with hybrid keyword and vector search
Pricing ModelOpen Source
Starting PriceFree (Open Source) / Cloud from $25/mo
Monthly Traffic4.8M visits
User Rating4.8 (3,900 reviews)
About Weaviate
Weaviate is an open-source vector search engine that stores both objects and vectors, allowing for seamless combination of vector search with structured BM25 keyword filtering.
#Hybrid Search#Vector Database#GraphQL#Multi-Modal
In-Depth Technical Review & Architecture Guide
2,000+ Words • Verified 2026Dive into our comprehensive engineering deep dive covering Weaviate's underlying neural architecture in United States, independent MMLU and HumanEval benchmark evaluations, full token economics breakdown, step-by-step implementation workflows, and upcoming 2026 version roadmaps.
Core Capabilities & Features
Hybrid search: combines BM25 keyword matching with dense vectors
Modular architecture supports vectorizers and generative modules
GraphQL API for intuitive data traversal
Scales to billions of vectors with high availability
Pros
- +Hybrid search delivers superior recall on exact SKU and product names
- +Strong multimodal support for images and text
Cons & Limitations
- -Requires understanding of hybrid search parameter tuning
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