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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 Nomic Atlas?
Atlas effortlessly fits into your working process by organizing text and embedding datasets into interactive maps that can be explored through a web browser. Gone are the days of navigating through Excel spreadsheets, managing DataFrames, or poring over extensive lists to understand your data. With its ability to automatically ingest, categorize, and summarize collections of documents, Atlas brings to light significant trends and patterns that may otherwise go unnoticed. Its meticulously designed data interface offers a swift method of spotting anomalies and issues that could jeopardize the effectiveness of your AI strategies. During the data cleansing phase, you can easily label and tag your information, with real-time synchronization to your Jupyter Notebook for added convenience. Although vector databases are critical for robust applications such as recommendation systems, they can often pose considerable interpretive difficulties. Atlas not only manages and visualizes your vectors but also facilitates a thorough search capability across all your data through a unified API, thus streamlining data management and enhancing user experience. By improving accessibility and transparency, Atlas equips users to make data-driven decisions that are well-informed and impactful. This comprehensive approach to data handling ensures that organizations can maximize the potential of their AI projects with confidence.
Integrations Supported
AWS Marketplace
Agno
Airbyte
Amazon Web Services (AWS)
Astro by Astronomer
Boomi
Claude Code
Cursor
DeepEval
Dify
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
Pricing Information
$50 per month
Free Version
Supported Platforms
SaaS
Windows
Mac
On-Prem
Linux
Supported Platforms
SaaS
Customer Service / Support
24 Hour Support
Web-Based Support
Customer Service / 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
Nomic AI
Company Website
atlas.nomic.ai/