Databases

Weaviate

Cloud-native vector database with hybrid search, modular AI connectors, and GraphQL/REST APIs.

Overview

Weaviate combines vector storage with hybrid keyword/vector search, auto-vectorization modules, and rich metadata handling. Its SaaS offering includes a free tier, while the open-source version supports Kubernetes and edge deployments.

Best for

Hybrid search applications
AI pipelines needing auto-embedding and metadata filtering

Trade-offs

vs LanceDB

LanceDB for local/offline simplicity and privacy-first workflows; Weaviate for cloud-native hybrid search, richer AI module ecosystem, and team collaboration features.

What XeroHack pre-wires

When you pick Weaviate in the interview, the engine emits these files into your scaffold:

GraphQL & REST APIs
Python/JS clients
OpenAI/Cohere/HuggingFace modules
Kubernetes Helm charts

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