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What is Weaviate?

Weaviate is an open-source, AI-native database that helps organizations build and ship AI applications on a single, scalable foundation. It stores data objects alongside the vector embeddings produced by your chosen machine learning models and scales smoothly to billions of records. Teams can supply their own vectors or use Weaviate's built-in vectorization, then query their data through vector, keyword, and hybrid search to surface the most relevant results, even with complex filters. By integrating with leading large language models, Weaviate makes it straightforward to build retrieval-augmented generation, grounded question answering, and intelligent search over proprietary data. Beyond core retrieval, Weaviate offers a growing platform: the Query Agent converts natural-language questions into precise, cited queries; Engram provides managed memory that lets AI agents retain context over time; and Weaviate Embeddings handles vectorization as a managed service. Organizations can self-host under an open-source license or adopt fully managed Weaviate Cloud on AWS, GCP, or Azure, with SOC 2 Type II compliance, multi-tenancy, replication, and role-based access control. From semantic search and recommendations to agentic automation, Weaviate turns business data into AI-powered products.

What is Vespa?

Vespa is designed for Big Data and AI, operating seamlessly online with unmatched efficiency, regardless of scale. It serves as a comprehensive search engine and vector database, enabling vector search (ANN), lexical search, and structured data queries all within a single request. The platform incorporates integrated machine-learning model inference, allowing users to leverage AI for real-time data interpretation. Developers often utilize Vespa to create recommendation systems that combine swift vector search capabilities with filtering and machine-learning model assessments for the items. To effectively build robust online applications that merge data with AI, it's essential to have more than just isolated solutions; you require a cohesive platform that unifies data processing and computing to ensure genuine scalability and reliability, while also preserving your innovative freedom—something that only Vespa accomplishes. With Vespa's established ability to scale and maintain high availability, it empowers users to develop search applications that are not just production-ready but also customizable to fit a wide array of features and requirements. This flexibility and power make Vespa an invaluable tool in the ever-evolving landscape of data-driven applications.

Media

Media

Integrations Supported

Airbyte
Amazon SageMaker
Amazon Web Services (AWS)
Anyscale
Astro by Astronomer
Azure Marketplace
Claude Code
Cohere
Comet
Confluent
Dify
FriendliAI
LangChain
LlamaIndex
OpenAI
Parallel
Patronus AI
Snowflake
Unstructured
Voyage AI

Integrations Supported

Airbyte
Amazon SageMaker
Amazon Web Services (AWS)
Anyscale
Astro by Astronomer
Azure Marketplace
Claude Code
Cohere
Comet
Confluent
Dify
FriendliAI
LangChain
LlamaIndex
OpenAI
Parallel
Patronus AI
Snowflake
Unstructured
Voyage AI

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Open source (free); free Weaviate Cloud tier; paid Cloud plans from $45/mo.
Free Version
Free Trial Offered?

Pricing Information

Free
Open source
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Weaviate

Date Founded

2019

Company Location

The Netherlands

Company Website

weaviate.io

Company Facts

Organization Name

Vespa.ai

Date Founded

2023

Company Location

Trondheim, Norway

Company Website

vespa.ai/

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