Weaviate is an open-source vector database for AI applications. Features hybrid search, dynamic indexing, and multi-tenancy for building semantic search and RAG systems.

Available on: Web

Louis Corneloup Updated Jul 20, 2026 · how we evaluate Source weaviate.io ↗

Ratings Across the Web

4.4 (47 reviews)

Weaviate holds an aggregate rating of 4.4 out of 5 from 47 reviews across G2, last checked August 26, 2026.

G2 47 reviews

4.4/5

Ratings aggregated from independent review platforms. Learn more

Key Features

Vector database
Hybrid search
Dynamic indexing
Compression
Multi-tenancy
RBAC
Open-source
AWS/GCP/Azure support
Technical Account Team (Premium)
Custom training

Pricing Plans

Pricing checked Oct 2, 2026

Weaviate plans and prices, checked October 2026
Plan	Price	Details
Free Trial	$0	14-day trial Sandbox cluster Hybrid search +5 more Show less Dynamic indexing Compression Multi-tenancy Baseline RBAC Community support
Flex	$45	Pay-as-you-go Shared cloud cluster Full core toolkit +3 more Show less RBAC security 99.5% uptime Email support (next-business-day for critical)
Premium	$400	Prepaid contracts Shared or dedicated deployment Up to 99.95% uptime +5 more Show less Metrics endpoint AWS/GCP/Azure global coverage 1-hour Severity 1 response Technical Account Team Training and consultation

Calculate your cost View full pricing

Is Weaviate worth the price?

Good value

Weaviate's pricing is fair, offering a generous free trial and a flexible entry point with the Flex plan at $45/month.

The jump to the Premium tier at $400/month is significant but justified by enhanced support and deployment options. This structure is best for developers and small teams starting with vector search, scaling up to enterprises needing dedicated resources.

Hidden Costs & Gotchas

Overage fees for exceeding Flex plan limits

Full Weaviate pricing: every plan, hidden costs and alternatives

Reviews

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4.4/5

Across 47 verified user reviews on G2

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Best Weaviate Alternatives

Top alternatives based on features, pricing, and user needs.

Elasticsearch Freemium

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4.5

Milvus Free

Open-source vector database for AI

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Pinecone Freemium

Managed vector database for semantic search and RAG

4.2

Qdrant Freemium

Vector database for similarity search

4.5

Chroma Freemium

Open-source vector database for AI applications

4.2

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Still deciding?

Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.

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Weaviate FAQ

How does Weaviate support building AI applications?

Weaviate functions as an open-source vector database specifically designed for AI applications, offering features like hybrid search and dynamic indexing. It enables the creation of semantic search and Retrieval Augmented Generation (RAG) systems by managing vector embeddings efficiently.

Which teams would benefit most from using Weaviate?

Teams focused on developing AI applications, particularly those requiring semantic search or RAG capabilities, would find Weaviate beneficial. Its open-source nature and built-in vectorization are advantageous for developers building intelligent systems.

How is Weaviate's pricing structured?

Weaviate offers a free tier for users to get started, with paid plans available for those requiring more extensive usage and additional features. This model allows for scalability as application needs grow.

Can Weaviate perform complex searches beyond simple keyword matching?

Yes, Weaviate supports hybrid search, which combines different search techniques to deliver more relevant results. This capability is crucial for advanced AI applications like semantic search, allowing for nuanced querying.

What are the primary trade-offs when choosing Weaviate for a project?

Weaviate has a notable learning curve and can be memory intensive, which might require careful resource management. Additionally, while powerful, self-hosting can be complex, and cloud pricing for its services tends to be high.

How does Weaviate compare to Pinecone?

Weaviate is an open-source vector database with built-in vectorization and a GraphQL API, whereas Pinecone is a managed service. While both serve similar purposes in AI applications, Weaviate is considered less mature than Pinecone in the market.

Does Weaviate offer an API for integration with other tools?

Yes, Weaviate provides a GraphQL API, which facilitates integration with various applications and services. This API allows developers to interact with the database for tasks such as data retrieval and indexing.

Source: weaviate.io

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