The AI database developers love

Bring AI-native applications to life with less hallucination, data leakage, and vendor lock-in

Pricing model

Free Tier

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Weaviate to build AI applications that search through unstructured data, create chatbots with retrieval augmented generation, and develop AI agents. It's a vector database that handles embeddings and similarity search automatically. You can connect your own machine learning models or use built-in embedding services. The database scales from small projects to billions of data points and can be deployed in the cloud or on-premises.

What The AI database developers love does

Import and vectorize unstructured data automaticallyQuery data using natural language instead of keywordsSet up hybrid search combining multiple search methodsConfigure multi-tenant databases for different usersConnect custom embedding models to the databaseScale database clusters based on traffic demandsMonitor database performance and query analyticsImplement real-time data ingestion pipelinesAutomatically generates embeddings for your dataSupports hybrid search combining vector and keyword searchBuilt-in multi-tenancy for isolating dataScales to billions of data objectsConnects to custom machine learning modelsGraphQL and REST API accessReal-time data updates and queryingEnterprise security with RBAC and compliance

Pricing breakdown

Pricing model: Free tier

Frequently asked

Python

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