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PRODUCT OVERVIEW

What is Weaviate?

Weaviate is an open-source AI database for storing, indexing, and searching high-dimensional vectors at scale, forming a foundation for search, retrieval-augmented generation, and agents. The platform bundles a vector database, built-in embeddings generation from text and images, a Query Agent that turns natural-language questions into optimized database queries, and Engram, a managed memory and context service that helps agents remember and personalize experiences. Teams can self-host the open-source project or use Weaviate Cloud, which adds managed operations, console tools for querying and exploring collections, and usage-based AI services. It suits developers and AI teams building production search and RAG applications, with a free tier, pay-as-you-go Flex, and prepaid Premium options.

How to use Weaviate

  1. 1

    Create a Weaviate Cloud account

    Sign up for the Weaviate Cloud console to start a free managed cluster, or self-host the open-source database.

  2. 2

    Define a collection and import data

    Create collections through the console or API, then import objects and let Weaviate generate embeddings from text or images.

  3. 3

    Run vector and hybrid search

    Query stored vectors with vector search or combine keyword and vector retrieval using hybrid search.

  4. 4

    Ask questions with the Query Agent

    Use the Query Agent to translate natural-language questions into optimized Weaviate database operations.

  5. 5

    Add agent memory with Engram

    Use Engram, the managed memory and context service, to help agents retain and adapt to user context over time.

Weaviate Features

Vector database for storing, indexing, and searching high-dimensional vectors at scale

Built-in embeddings generation from text, images, and more

Query Agent that translates natural-language questions into optimized database queries

Engram managed memory and context service for personalized agent experiences

Hybrid search combining keyword and vector retrieval

Multi-tenancy and replication for production workloads

Managed Weaviate Cloud with console tools for querying and exploring collections

Self-hosted open-source deployment option

Weaviate Use Cases

  • Building retrieval-augmented generation applications

  • Semantic and hybrid search over large datasets

  • Giving AI agents persistent memory and context

  • Natural-language querying of databases

  • Scaling vector search in production with managed cloud

Weaviate FAQs

Yes, Weaviate is an open-source AI database that can be self-hosted or run as a managed service in Weaviate Cloud.

Weaviate Cloud uses the open-source project wrapped in a managed service that removes administration overhead and adds features such as the Embedding Service, Query Agent, and Data Import.

The free plan includes one cluster per user with 100,000 objects, 1 GB memory, 10 GB disk, one collection with up to three tenants, and limited Embeddings and Query Agent usage.

Flex is pay-as-you-go with a $45/month minimum, and vector dimension, storage, and backup usage are billed based on consumption.

Premium is a prepaid contract; contact sales for more information and pricing.

The Query Agent turns natural-language questions into precise Weaviate database operations, with a free tier and usage-based requests.

Engram is a fully managed memory and context service purpose-built to help agents remember and adapt to each user over time.

Weaviate Cloud is SOC 2 audited, and Enterprise Cloud on AWS is HIPAA compliant.

Weaviate Official Information

Company
Weaviate
Website
https://weaviate.io/
Support
support@weaviate.io
Documentation
https://docs.weaviate.io/weaviate
Contact
https://weaviate.io/contact

Weaviate Pricing

Freemium

Official pricing checked 2026-11-10. Free cluster has capacity limits; Flex starts at USD45/month and scales with usage. Premium requires a prepaid custom contract.

Free

$0USD / free forever

    Flex

    $45USD / per month, starting at; usage-based

      Premium

      Contact sales

        View official pricing ↗

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