Weaviate: Open Source Vector Database
Weaviate helps software companies and AI engineers manage the data foundations for AI-powered apps. It is designed for teams implementing retrieval-augmented generation or agentic workflows.
At a glance
- Best for
- AI Engineers, Software Development Teams, Software Companies, MLOps Professionals
- Pricing
- Paid plans start at $45/month for the Flex tier, with a Premium tier starting at $400/month. A 14-day free trial is available.
- Key use cases
- AI-Powered Search, RAG Implementation, Agentic Workflows
- Official website
- Visit Weaviate official website
Weaviate is an open-source vector database that allows developers to store and query unstructured data using vector and hybrid search. By combining vector search with BM25 keyword search, it supports more accurate contextual results.
The tool is designed for AI engineers and software development teams. It supports the creation of AI agents and retrieval-augmented generation (RAG), which helps ground chat experiences in a company's own proprietary data.
Buyers can choose between a managed cloud service or a self-hosted deployment. For those with regulatory needs, the platform provides SOC 2 and HIPAA compliance options, as well as role-based access controls (RBAC).
Buyers should confirm pricing dimensions, as costs are based on vector dimensions and storage.
Key Features
Hybrid Search
Combines vector search and BM25 keyword search to support semantic understanding and search results.
Retrieval Augmented Generation (RAG)
Supports using proprietary data to ground ML models for chat experiences.
Vector Index Compression
Uses quantization techniques to reduce the memory footprint of large datasets.
Multi-tenancy
Provides native support for isolating data across different tenants.
Multiple SDKs and APIs
Supports Python, Go, TypeScript, and JavaScript, alongside GraphQL and REST APIs.
Use Cases
AI-Powered Search
Implementing contextual search capabilities across unstructured data.
RAG Implementation
Supporting the development of chat interfaces that use business data to help reduce hallucinations.
Agentic Workflows
Building AI agents and workflows that interact with database information.
Best For
- AI Engineers
- Software Development Teams
- Software Companies
- MLOps Professionals
Pricing
Paid plans start at $45/month for the Flex tier, with a Premium tier starting at $400/month. A 14-day free trial is available.
FAQ
What is a vector dimension in Weaviate pricing?
- A vector dimension is one element in a vector representing an embedding for an object. Pricing is based on the total count of these dimensions across your indexes.
Does Weaviate support hybrid search?
- Yes, Weaviate provides hybrid search by combining vector search with BM25 keyword search.
Is Weaviate compliant with healthcare regulations?
- Weaviate's Enterprise Cloud on AWS environments meet HIPAA requirements for processing Protected Health Information.
Source category: Software Development
Source subcategory: Database
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Software Type
How AI is used
Weaviate is an open-source vector database for developers and AI engineers building AI-native applications. It supports contextual search and RAG workflows to help ground AI responses in proprietary data. Pricing is based on vector dimensions and storage usage.
Pros & Cons
Pros
- Flexible deployment options including self-hosted, shared cloud, and dedicated cloud.
- Support for hybrid search combining keywords and vectors.
- Includes compliance certifications like SOC 2 and HIPAA for regulated industries.
- SDK support for Python, Go, and JavaScript.
Cons
- Pricing is based on vector dimensions and storage volume rather than a flat fee.
- The free trial is 14 days before transitioning to pay-as-you-go pricing.
- HIPAA compliance is currently supported for AWS environments, with Azure and GCP support in development.
