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SlateIndex

Weaviate

New

The AI database developers love

Vector DatabasesAmsterdam, Netherlands51–200 employeesFounded 2019

Visibility score
45.2%
New vs last week
Weekly run · Nov 2

Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

  • Weaviate ranks #4 of 30 in Vector Databases with an AI visibility score of 45.2 (SlateIndex, Nov 2, 2026).
  • Weaviate is most visible on ChatGPT (57.8) and least on Perplexity (37.8).
  • AI engines name Weaviate in 27 of the 30 Vector Databases buyer prompts SlateIndex tracks.
  • pinecone.io is the source AI engines cite most in answers about Weaviate, with 31 citations.

About

Company details for Weaviate

Weaviate is an open-source vector database that stores, indexes and searches high-dimensional vectors for search, retrieval-augmented generation and agents. It can be self-hosted or run as a managed service in Weaviate Cloud. The platform also includes Query Agent for natural-language queries, built-in embeddings, and Engram, a memory service for agents. It ranks #4 of 30 in Vector Databases on SlateIndex and has a visibility score of 45.2 in the latest weekly run.

Founded in 2019 and headquartered in Amsterdam, Netherlands, the company employs 51–200 people. Its differentiator: an open-source platform that combines vector search, built-in embeddings and a natural-language query agent in one database, deployable anywhere.

Company size
51–200 employees
Headquarters
Amsterdam, Netherlands
Founded
2019
Company type
Private, venture-backed
Funding
Strategic investment (Ricoh corporate venture fund)
Pricing
Free; paid from $45 / mo · usage-based
Free trial
Free plan available
Deployment
Serverless, Enterprise Cloud, or Bring Your Own Cloud
Platforms
AWS, Google Cloud, Azure
Languages
4 supported
Compliance
SOC 2 Type II, HIPAA (Enterprise Cloud on AWS)
Support
Email support on all plans, Phone and Slack support on Premium and Dedicated plans, Technical Account Team add-on on Premium and Dedicated plans

Read from linkedin.com, weaviate.io, g2.com, github.com, clay.com, ricoh.com · refreshed Nov 2, 2026.

AI visibility

Latest weekly run · Nov 2 · next run Nov 9

Visibility score
45.2%
across Vector Databases answers, weighted by position
ChatGPT57.8%
AI Mode40%
Perplexity37.8%
Change
New
vs last week’s run
Category rank
#4 of 30
in Vector Databases
Mentions
56
in this week’s run
Share of voice
11.7%
of AI mentions in Vector Databases

Visibility score trend

Weekly runs over the last 60 days, with up to 7 competitors. Click a name to hide or show its line.

Now45.2%
30-day change—
High · low45.2% · 45.2%
Rank#4
0%25%50%75%100%Nov 2Weaviate 45%

Changes appear after the second weekly run in Vector Databases. Pinecone leads the category at 71.8%.

Media

Website and product screenshots for Weaviate

All media

AI mentions & citations

Recent answers that name Weaviate

All prompts

Which Vector Databases tools offer annual discounts?

Among the major vector database tools, Weaviate is the clearest option offering a published annual-commitment price: its Plus tier starts at $280/month when billed annually, compared with Flex at $45/month but with…

Perplexity · run of Nov 2

What is the difference between a vector database and MLOps Platforms?

ChatGPT · run of Nov 2

What is the typical pricing model for Vector Databases software?

Weaviate: Charges based on stored vector dimensions and storage, with minimum monthly charges and enterprise tiers.

ChatGPT · run of Nov 2

Which vector database has transparent pricing?

As of November 2026, Qdrant, Weaviate, and Pinecone are among the vector databases with publicly accessible pricing.

ChatGPT · run of Nov 2

Official website of the top vector database vendors

My recommendation: If you're researching the vector database market, start with Pinecone, Weaviate, Qdrant, Milvus, and Chroma.

ChatGPT · run of Nov 2

How long does it take to roll out a vector database?

Proof of Concept / Prototype (1 to 3 days): Spinning up a managed service like Pinecone, Weaviate Cloud , or Qdrant Cloud, pushing a few thousand pre-computed embeddings via an API, and running test queries takes…

Google AI Mode · run of Nov 2

Best vector database with AI features

Weaviate (Best for Native Hybrid Search & Generative AI)

Google AI Mode · run of Nov 2

Which Vector Databases vendors do analysts recommend?

Weaviate : Highly rated for its purpose-built architecture, modular vectorization, and advanced hybrid search (combining keyword and semantic search natively).

Google AI Mode · run of Nov 2

Products & features

What Weaviate sells

Weaviate open-source AI database

Vector database for storing, indexing and searching vectors, self-hosted or managed.

Weaviate Shared Cloud

Fully managed AI database in Weaviate Cloud on shared infrastructure.

Weaviate Dedicated Cloud

Fully managed AI database on a dedicated instance in Weaviate Cloud.

Query Agent

Turns natural-language questions into database queries, with source citations.

Engram

Managed memory and context service that helps AI agents remember.

Embeddings

Generates embeddings inside Weaviate Cloud without a third-party provider.

Strengths engines cite

  • Strong native hybrid search
  • Open-source and modular AI-native design
  • Free tier or trial to start
  • Flexible indexing and configurable managed service
  • Published pricing with an annual-commitment option

Target market & buyers

Startups, scale-ups and enterprises building AI applications, including developer, DevOps and MLOps teams.

Notable customers include Loti AI, Cedience.

IndustryPrimary use case
Digital identity protectionScanning billions of facial vectors to find and remove unauthorized content (Loti AI)
PharmaRetrieving relevant information for AI-powered research and intelligence tools (Cedience)
HealthcareHIPAA-compliant deployments for regulated healthcare workloads

Funding & recent developments

Funding

RoundYearAmount
Seed2020$1M
Series A2022$16M
Series B2023$50M
Strategic investment (Ricoh corporate venture fund)2026—
Latest known roundTotal raised
Strategic investment (Ricoh corporate venture fund)—

Recent developments

  1. Oct 2026SecurityCross-collection vector disclosure published

    A medium-severity cross-collection vector disclosure in nearObject was published; the CVE was pending assignment.

  2. Oct 2026SecuritySecurity release fixes credential disclosure

    v1.39.3 fixed a high-severity credential disclosure in the Google modules; earlier versions are affected.

  3. Jun 2026ProductEngram becomes generally available

    Engram, a managed memory service for AI agents, became generally available with a free tier.

  4. Apr 2026ProductWeaviate Shared Cloud generally available on AWS

    Weaviate Shared Cloud became generally available on AWS.

  5. Mar 2026FundingRicoh corporate venture fund invests in Weaviate

    Ricoh's corporate venture fund invested in Weaviate; the amount was not stated.

Competitive landscape

How Weaviate compares with its top three alternatives

All alternatives

Weaviate most often appears alongside Pinecone, Qdrant, PostgreSQL in AI answers.

BrandVisibilityShare of voicevs last weekStarting price
Weaviate45.2%11.7%NewFree plan
Pinecone71.8%14%NewFree plan
Qdrant60.5%13.4%NewFree plan
PostgreSQL49%12.6%NewPricing not available
Chroma18.6%6.8%NewFree plan

What AI answers say

Sentiment and themes from the answers that mention this brand

Reviews

Positive 59% · Neutral 29% · Mixed 12% of 58 engine answers that mention Weaviate

Praised for

  • Strong native hybrid search
  • Open-source and modular AI-native design
  • Free tier or trial to start
  • Flexible indexing and configurable managed service
  • Published pricing with an annual-commitment option

Criticised for

  • Monthly minimum charges
  • Higher tiers priced steeply above entry plan

Pricing

Usage-based pricing with a free plan

Full pricing
Free$0month
Flex$45month minimum, pay-as-you-go
Premium SharedCustomprepaid contract (from $400/month minimum)
Premium DedicatedCustomprepaid contract

Cite as: SlateIndex, “Weaviate AI visibility profile”, https://slateindex.ai/brand/weaviate, data of Nov 2, 2026. Licence: CC BY 4.0.