Weaviate

Freemium

Open-source vector database

5.0

Model APIsFreemium

#n8n

Inputs: textOutputs: text

Type

Open Source

Founded

2019

Company

Weaviate B.V.

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About Weaviate

Weaviate is an advanced search engine that enables users to quickly find information and insights from structured and unstructured data. With Weaviate, users can retrieve relevant data from both internal and external sources with ease. It uses artificial intelligence to make sense of data and interpret natural language queries, providing users with a more accurate search experience. Weaviate also offers powerful visualizations and analytics that allow users to quickly analyze large volumes of data and gain valuable insights. In addition, its intuitive user interface makes navigation and data exploration simple and user-friendly. With Weaviate, professionals can quickly find the information they need to make informed decisions and take action.

Key Features

Quickly search structured/unstructured data from multiple sources. 2. Leverage AI to interpret natural language queries. 3. Generate powerful visualizations/analytics to gain insights.

Pros & Cons

Pros

Open-source with a freemium cloud option, lowering initial costs
Hybrid search improves relevance over pure vector search
Built-in embedding and agent features reduce custom development
Designed for production-scale usage (billion-scale, auto-scaling)
Enterprise compliance features (RBAC, SOC 2, HIPAA) available
Strong community and developer resources (50,000+ builders, events)

Cons

Free tier likely has usage limits on storage or API calls; exact limits should be verified
Requires technical expertise in AI/ML and vector databases to set up and optimize
Performance depends on proper schema design and chosen embedding models
May involve additional costs for cloud hosted clusters or premium support
Integration with non-text data types (images, audio) may require custom embedding pipelines

Best For

Quickly search structured/unstructured data from multiple sources. 2. Leverage AI to interpret natural language queries. 3. Generate powerful visualizations/analytics to gain insights.

Alternatives to Weaviate

Supabase

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AI21 Labs

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Qdrant

Vector similarity search engine

Hugging Face

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Anthropic API

Claude model API access

Pinecone

Vector database for AI

FAQ

Is Weaviate open-source?

Yes, Weaviate is open-source under a BSD-3-Clause license. The source code is available on GitHub, and there is a freemium cloud service (Weaviate Cloud) for hosted usage.

What are the pricing options?

Weaviate offers a freemium model. The open-source version is free to self-host. Weaviate Cloud provides free starter clusters with resource limits; paid tiers offer more capacity and features. Exact pricing should be checked on the official pricing page.

Can I use Weaviate with my own embedding models?

Yes, Weaviate allows you to connect your own machine learning models for vectorization, or use the built-in embedding services. Integration details are available in the documentation.

Does Weaviate support non-text data like images or audio?

Weaviate is primarily designed for text, but as a vector database, it can store and retrieve vectors from any data type if appropriate embedding models are used. Specific support for images or audio should be verified in the documentation or through community examples.

How does Weaviate handle data privacy and compliance?

Weaviate Cloud offers enterprise features such as RBAC, SOC 2 compliance, and HIPAA eligibility (based on website claims). Self-hosted deployments allow full control over data. Compliance details should be confirmed with the official documentation or sales team.

What programming languages and APIs are supported?

Weaviate provides official SDKs for Python, Go, TypeScript, and JavaScript. It also offers GraphQL and REST APIs for language-agnostic access. This covers most common development environments.

Integrations

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