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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 Vectorize?

Vectorize is an advanced platform designed to transform unstructured data into optimized vector search indexes, thereby improving retrieval-augmented generation processes. Users have the ability to upload documents or link to external knowledge management systems, allowing the platform to extract natural language formatted for compatibility with large language models. By concurrently assessing different chunking and embedding techniques, Vectorize offers personalized recommendations while granting users the option to choose their preferred approaches. Once a vector configuration is selected, the platform seamlessly integrates it into a real-time pipeline that adjusts to any data changes, guaranteeing that search outcomes are accurate and pertinent. Vectorize also boasts integrations with a variety of knowledge repositories, collaboration tools, and customer relationship management systems, making it easier to integrate data into generative AI frameworks. Additionally, it supports the development and upkeep of vector indexes within designated vector databases, further boosting its value for users. This holistic methodology not only streamlines data utilization but also solidifies Vectorize's role as an essential asset for organizations aiming to maximize their data's potential for sophisticated AI applications. As such, it empowers businesses to enhance their decision-making processes and ultimately drive innovation.

Media

Media

Integrations Supported

AWS Marketplace
Airbyte
Amazon Web Services (AWS)
DeepEval
GitHub Copilot
Google Cloud Marketplace
IBM API Connect
Jina AI
LangChain
Mem0
Model Context Protocol (MCP)
OpenAI
Semantic Kernel
Superlinked
Tadata
n8n

Integrations Supported

Amazon S3
Discord
Google Cloud Storage
Google Drive

API Availability

Has API

API Availability

Pricing Information

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

Pricing Information

$0.57 per hour
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Weaviate

Date Founded

2019

Company Location

The Netherlands

Company Website

weaviate.io

Company Facts

Organization Name

Vectorize

Date Founded

2023

Company Location

United States

Company Website

vectorize.io

Categories and Features

AI Memory Layers

Not specified

Context Engineering

Not specified

Vector Databases

Not specified

Categories and Features

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