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Vector Databases · Reviewed 19 Oct 2026

Weaviate

Open-source AI database for vector search, hybrid search, and AI application development.

from $45 · free tier · weaviate.io ↗

Paid against free › Vector Databases › Weaviate

Weaviate at a glance

SEO analysis

Collected Oct 19, 2026

weaviate.io: an estimated 108,530 total monthly visits and about 4,507 monthly organic visits across 1,370 ranking keywords. Scout crawled 15 pages and measured a technical health score of 95/100.

108.5KEstimated total trafficModeled monthly visits1.4KRanking keywordsPublic search sample95/100Technical health15 pages checked7.3KReferring domainsLive backlink summary

Overview

01

Summary

The useful answer before the supporting detail.

Weaviate is an open-source vector database that simplifies AI application development by providing built-in vector and hybrid search, easy-to-connect machine learning models, and a focus on data privacy S6. Developers use it to build, iterate, and scale AI capabilities faster, with options to self-host or run as a managed service in Weaviate Cloud S1 S6. Its practical value lies in reducing operational overhead and enabling features like semantic search, RAG, and agentic workflows S21 S6.

02

Product identity and positioning

Name, category, positioning, audience, and first-party claims.

  • Identity: Weaviate is an open-source vector database and AI database platform S6.
  • Core purpose: It solves the problem of storing, indexing, and searching high-dimensional vectors for AI applications S6 S59.
  • Intended users: Developers of all levels building AI applications S6.
  • Product scope: It is a database platform with a core open-source database, managed cloud services, and additional products like Engram and Query Agent S1 S11 S42.
  • Positioning: Weaviate positions itself as "The AI database for a new generation of software" S1.
  • Claimed distinction: It claims to simplify AI development with built-in vector generation, hybrid search, and easy integration with ML models S6.
03

Use cases and audiences

Who the product serves and the jobs it is designed to handle.

AudiencePractical use case
AI application developersBuild and scale AI applications with vector search and hybrid retrieval S6.
Teams building RAG systemsRun production RAG pipelines on managed infrastructure S21.
Developers creating agentic workflowsUse pre-built agentic workflows that interact with data for multi-step tasks S1.
Organizations needing agent memoryImplement persistent memory for AI agents to personalize and improve over time S11.
Enterprises requiring supportGet enterprise SLAs and expert guidance for self-hosted deployments S16.

Features

09

Features and capabilities

Core functions and evidence-backed product capabilities.

CapabilityWhat it does
Vector and hybrid searchProvides built-in vector and hybrid search (vector + BM25 keyword) for semantic understanding and accuracy S6.
Vector embeddings generationGenerates vector embeddings from text, images, and more, either built-in or bring your own S6.
Agent memory (Engram)Offers a managed memory and context service for AI agents to remember, learn, and improve over time S11.
Natural language querying (Query Agent)Turns natural-language questions into precise database operations, including filters, routing, and aggregations S42.
GUI-based managementProvides a graphical user interface to create and manage collections S1.
Data import and schemaAllows importing data from any source and defining schema and collections S6.
RAG and generative searchCombines retrieved context with a model to generate accurate answers S6.
10

Integrations and ecosystem

Connected products, exports, APIs, and workflow compatibility.

Integration or interfaceTypeWhat it enables
Python, JavaScript, Go, Java SDKsSDKConnect to Weaviate clusters and build applications S21.
GraphQL and REST APIsAPIInteract with Weaviate data programmatically S167.
Google Cloud Platform (GCP) MarketplaceIntegrationLaunch Weaviate clusters and integrate with Google AI modelAPI and Vertex AI S31.
AWS MarketplaceIntegrationLaunch Weaviate clusters and use model providers via SageMaker and Bedrock S31.
Azure MarketplaceIntegrationDeploy Weaviate and access OpenAI models via Microsoft Azure API S31.
AirbyteIntegrationIngest data from various sources into Weaviate S31.
deep page fetchIntegrationCrawl and extract structured data from websites into Weaviate S31.
Engram APIsAPISend user interactions or application context for memory management S11.

Pricing

11

Pricing and plans

Published plans, free access, trials, credits, and pricing limitations.

Plan or offerVerified price and billingIncludedLimits
Free$0, forever, per user S1One always-free cluster S1One cluster per user S1
FlexFrom $45 per month, monthly, usage-based S1Usage-based Query Agent and embeddings S1Not established
PremiumContact sales, custom S1Shared or dedicated instance, enterprise support S1Not established
Managed Weaviate on DigitalOceanStarts at $20/month, flat pricing S21No per-query read unit fees, no per-dimension pricing S21Not established
Weaviate AssuranceFixed annual subscription, contact sales for quote S16Upgrade advisory, office hours, architecture reviews S16Professional services excluded S16
Embeddings (Weaviate Cloud)Pay-as-you-go, e.g., $0.025 per 1M tokens for Snowflake arctic-embed 1.5 S28GPU-powered embedding generation S28Not established
Query Agent1000 requests/month free, then $0.0001 per model unit S42Natural language querying S42Additional requests billed S42

Competition

12

Competitive landscape

Domains competing for the same organic search demand.

Sampled competitors

CompetitorFirst-page appearancesSampled queriesAverage positionQueries observed
diagrid.io111agentic workflows meaning
moveworks.com111agentic workflows examples
effective-world.com112agentic workflows meaning
evidentlyai.com112agentic workflows examples
iovector.com113agentic workflows meaning
cobusgreyling.medium.com113agentic workflows examples
bloome.im114agentic workflows meaning
cloud.google.com114agentic workflows examples
similarweb.com115agentic workflows meaning
galileo.ai115agentic workflows examples

Website intelligence — Collected evidence

Customers, testimonials, and first-party review claims

No supporting public-page evidence was collected for this category.

Independent review sources discovered

No links to supported independent review platforms were discovered on the collected pages.

14

AI visibility

Measured ChatGPT and Google AI mentions with cited sources.

AI-assistant referral traffic

  • Estimated current generative-AI referral share: 2.3%
MonthSource
—All AI assistants

Website intelligence — Collected evidence

Site-stated AI capabilities

Page typeEvidenceSource
integrationsBring AI-native applications to life with less hallucination, data leakage, and vendor lock-inhttps://weaviate.io/
featuresWeaviate:AI Database for Developers who Love to Buildhttps://weaviate.io/platform
featuresPurpose-built open source AI database for a new breed of software applications.https://weaviate.io/platform
featuresHelp developers build and scale AI applications with an open source, developer-friendly platform and ecosystem.https://weaviate.io/platform
featuresWeaviate is an open-source vector database that simplifies the development of AI applications. Built-in vector and hybrid search, easy-to-connect machine learning models, and a focus on data privacy enable developers of all levels to build, iterate, and scale AI capabilities faster.https://weaviate.io/platform
featuresWeaviate’s open source AI database can be self-hosted or run as a managed service in Weaviate Cloud to reduce operational overhead.https://weaviate.io/product
featuresThe AI database for a new generation of softwarehttps://weaviate.io/product
featuresSelf-hosted flexibility with managed-service reliability — a direct line to Weaviate’s core engineering team for critical AI workloads.https://weaviate.io/product/assurance
featuresYour partner for production-ready AIhttps://weaviate.io/product/assurance
featuresDeploy fully managed Weaviate clusters on DigitalOcean while your team focuses on building AI applications, not operating database infrastructure.https://weaviate.io/product/digitalocean-managed-weaviate
featuresStop allocating engineering cycles to upgrades, patching, backups, and scaling. Keep your team focused on shipping AI product features.https://weaviate.io/product/digitalocean-managed-weaviate
featuresEngram:Memory Built for AI Agentshttps://weaviate.io/product/engram
featuresMemory isn’t just a feature for AI—it’s infrastructure. As agents grow, stateless interactions break down...https://weaviate.io/product/engram
featuresLaunch a Weaviate cluster from the Google Cloud Platform (GCP) marketplace. Weaviate integrates with Google Gemini API and Google Vertex AI.https://weaviate.io/product/integrations
featuresWeaviate:AI Database for Developers who Love to Buildhttps://weaviate.io/platform
featuresPurpose-built open source AI database for a new breed of software applications.https://weaviate.io/platform
featuresBring the power of AI to more developershttps://weaviate.io/platform
featuresHelp developers build and scale AI applications with an open source, developer-friendly platform and ecosystem.https://weaviate.io/platform
featuresWeaviate is an open-source vector database that simplifies the development of AI applications. Built-in vector and hybrid search, easy-to-connect machine learning models, and a focus on data privacy enable developers of all levels to build, iterate, and scale AI capabilities faster.https://weaviate.io/platform
featuresWeaviate’s open source AI database can be self-hosted or run as a managed service in Weaviate Cloud to reduce operational overhead.https://weaviate.io/product

These are first-party product claims, not independent measurements of AI-search visibility.

15

Marketing opportunities

Actions calculated directly from the collected evidence.

OpportunityRecommended actionEvidence
Competitor gapReview the sampled queries where diagrid.io appears.1 first-page appearances across agentic workflows meaning

Website intelligence — Collected evidence

Website evidence gaps

  • customers: no usable public page was collected; verify whether the site publishes this evidence.
  • reviews: no usable public page was collected; verify whether the site publishes this evidence.
  • changes: no usable public page was collected; verify whether the site publishes this evidence.
  • identity: no usable public page was collected; verify whether the site publishes this evidence.
  • technical: no usable public page was collected; verify whether the site publishes this evidence.

Trust and proof

16

Customers, proof, and reviews

Published proof, customer signals, and review evidence.

Independent reviews

PlatformPageHow it was foundNote
Product HuntWeaviate Reviews / Product HuntGrounded web searchReviewers see Weaviate as a strong fit once needs go beyond basic vector search, especially for RAG and structured data where metadata and exact keyword matching matter. The clearest praise is for hybrid search, which combines semantic retrieval with BM25 in one query, and for a modular setup that makes switching embedding providers easier. The main tradeoff is complexity: the schema-first model adds upfront planning, and self-hosting can take real infrastructure work. Overall, sentiment is posi
ToolradarWeaviate Reviews, Pricing & Alternatives / ToolradarGrounded web search## Ratings Across the Web 4.4(47 reviews) Weaviate holds an aggregate rating of 4.4 out of 5 from 47 reviews across G2, last checked August 26, 2026. G2 47 reviews 4.4/5 Ratings aggregated from independent review platforms. Learn more
NolistWeaviate — Review (Score: 78/100) - nolist.aiGrounded web search'Agent Skills' allows developers to build workflows in tools like AI modelCode or Cursor with single-prompt integrations. However, friction often appears during initial schema design; the 'Collection' definitions are strict, and changing a vectorizer

Customer proof

Proof typeNamed customer or sourceEvidence
Case studyInstabasecustomer case study — - Powerful performance: Instabase had their own benchmarks for the use cases they knew they had to solve really, really well. (Case Study - Instabase / Weaviate)

Independent mentions

  • Weaviate – Open-Source AI Native Vector Database / Hacker News — If you are new to vector databases Weaviate is nice to get started with. With docker you are up and running in a few minutes. It is very easy to integrate with embedding and generative models from openai (direct and Azure), cohere and google (PaLM). All you need is enter your API keys. This makes prototyping very fast because you don't need to worry about infrastructure to interface with the models. The documentation is pretty good and the tutorial gets your feet wet quickly. ... Weaviate is gre
  • Weaviate Problems & Issues 2026 - Scaling Challenges Exposed — GitHub issue #4572 documents scaling problems: 'With 18 million objects ingested, every new query was taking anywhere between 5 to 15 seconds per query ... The main complaint is 'performance when trying to scale things up' - feels fine for small datasets
  • What have your experiences with vector databases been? / Hacker News — What have your experiences with vector databases been? I've been using https://weaviate.io/ which works great, but just for little tech demos, so I'm not really sure how to compare one versus another or even what to look for really.
  • Who uses Weaviate? 16 products built with it — Open source and free to run, with good docs and an active, friendly community ... in vectorization and a GraphQL API let queries mix semantic search with structured data. PH HN HN 2 - Self-hosted costs stay low even with steady multi-user usage. HN HN
  • Weaviate — unsubbed.co — or AI agent memory who need multi-tenancy, self-hosting for compliance ... - Key strength: Native hybrid search — BM25 keyword scoring and vector similarity combined in one query — ... and linked to a personal side-project Streamlit app as the only
  • A Deep Dive into Weaviate's Fusion Algorithms for Hybrid Search / Hacker News — A Deep Dive into Weaviate's Fusion Algorithms for Hybrid Search (weaviate.io) 24 points by bobvanluijt on Aug 29, 2023 / hide / past / favorite / 6 comments ... search.WeaviateHybridSearchRetriever. Unfortunately i can't get it work asynchronously :(

External links were grounded in one live web search. Search snippets are leads, not independently scraped page content; rejected links remain available in Review evidence.

17

Company, security, and trust

Ownership, policies, security signals, and public trust evidence.

SignalFindingSource
Company and ownershipCo-Founder and CTOsource
Contact and support/ Phone support / × / × / ✓ / ✓ /source
Legal and privacyNot published on the collected pages.—
Security and complianceSecurity and Multi-Tenancy: Isolation of data across clients or projects through physical or logical separation (multi-tenancy). Enterprise-grade security features, including encryption, role-based access control, and cosource
Uptime and status page“I need peace of mind. When we are scaling our systems, I don't want to worry about scalability and uptime of our vector database as it serves as a core foundation supporting all our services.”source

Not found on the collected pages: legal and privacy. This only means Scout did not find it on the pages it read; it says nothing about the company itself.

18

Documentation and product updates

Help resources, product guidance, and visible changes over time.

Not established in the collected sources.

Technical

19

Technical and delivery signals

Delivery model, platforms, API, data ownership, reliability claims and release activity.

SignalFindingSource
Delivery model (cloud, self-hosted, desktop, browser extension)Available as self-hosted database, managed service in Weaviate Cloud, or Kubernetes package in your VPC S6.S6
Platforms and appsSupports web via cloud console and SDKs for Python, JavaScript, Go, Java S21 S42.S21 S42
API and extensibility (API, SDK, webhooks, MCP, plugins)Offers GraphQL and REST APIs, SDKs, and integration ecosystem S167 S31.S167 S31
Data ownership and exportNot published on the collected pages.—
Performance and reliability claimsRQ8 compression reduces RAM usage by ~4x while preserving recall S21.S21
Release activityUpgrade advisory for every release and pre-release upgrade calls S16.S16
20

Measured infrastructure

Domain, certificate, and hosting signals, measured directly.

SignalFinding
TLS certificateLet's Encrypt, valid, expires 2026-12-23
Security headersHSTS
Headers not servedCSP, X-Content-Type-Options, X-Frame-Options, Referrer-Policy
Server headerNetlify
Mail handled byaspmx.l.google.com, alt2.aspmx.l.google.com
Nameserversns-cloud-b4.googledomains.com, ns-cloud-b1.googledomains.com

Not measurable: wayback: rate limited by archive.org, ladder stopped after 1 probe(s). A gap here means the lookup was unavailable, not that the finding is negative.

21

Technical site audit

A bounded multi-page crawl with page-level issues and URLs.

Scout — Bounded technical crawl

  • Pages crawled: 15 of 15 maximum
  • Technical health: 95/100
  • Critical issues: 0
  • Warnings: 9
  • Notices: 17

Issues

SeverityIssueValueAffected URL
noticeImages are missing alt text1https://weaviate.io/
noticeMeta description length should be reviewed186https://weaviate.io/blog/pathseer-filtered-vector-search
noticeImages are missing alt text1https://weaviate.io/blog/pathseer-filtered-vector-search
noticeImages are missing alt text1https://weaviate.io/product
noticeImages are missing alt text1https://weaviate.io/rag
noticeImages are missing alt text1https://weaviate.io/enterprise
noticeImages are missing alt text1https://weaviate.io/learn
warningTitle length should be reviewed8https://weaviate.io/company/about-us
warningMissing meta description—https://weaviate.io/company/about-us
warningPage should have one primary H13https://weaviate.io/company/about-us
noticeImages are missing alt text7https://weaviate.io/company/about-us
warningPage should have one primary H13https://weaviate.io/pricing
noticeImages are missing alt text1https://weaviate.io/pricing
noticeImages are missing alt text1https://weaviate.io/contact
warningTitle length should be reviewed8https://weaviate.io/go/console
warningMissing meta description—https://weaviate.io/go/console
warningPage should have one primary H10https://weaviate.io/go/console
noticeLow visible word count5https://weaviate.io/go/console
noticeImages are missing alt text1https://weaviate.io/go/console
noticeImages are missing alt text1https://weaviate.io/product/engram
noticeImages are missing alt text1https://weaviate.io/platform
noticeImages are missing alt text1https://weaviate.io/product/query-agent
noticeImages are missing alt text1https://weaviate.io/product/embeddings
noticeImages are missing alt text1https://weaviate.io/case-studies/loti
warningDuplicate title in audit sample2https://weaviate.io/company/about-us
warningDuplicate title in audit sample2https://weaviate.io/go/console

Crawled pages

StatusTitleH1sWordsResponseURL
200The AI database developers love \Weaviate11165189 ms
200PathSeer: Adaptive Filtered Vector Search \Weaviate1273529 ms
200Weaviate Products \Weaviate1467112 ms
200Retrieval Augmented Generation \Weaviate139199 ms
200Enterprise AI Database \Weaviate11227638 ms
200Weaviate Learning Center \Weaviate1812116 ms
200Weaviate384927 mshttps://weaviate.io/company/about-us
200Vector Database Pricing \Weaviate31510111 ms
200Contact \Weaviate1252255 ms
200Weaviate0588 mshttps://weaviate.io/go/console
200Engram \Weaviate Agents \Weaviate1562
200Open Source Vector Database \Weaviate168529 ms
200Query Agent \Weaviate Agents \Weaviate1419
200Embeddings \Weaviate Workbench \Weaviate1423
200Case Study - Loti \Weaviate1883262 ms

This is a bounded Scout crawl. Core Web Vitals and Lighthouse scores are not claimed unless a dedicated performance audit is connected.

22

Search Console and Analytics

First-party search and behavioral data connection state.

Modeled acquisition channels

ChannelEstimated share
direct27.7%
search49.0%
search organic49.0%
search paid0.0%
social5.9%
social organic4.8%
social paid1.1%
referrals12.5%
paid referrals0.9%
mail1.8%
gen ai2.3%
affiliate0.0%
other0.0%

First-party connections

IntegrationStatusData available after connection
Google Search ConsoleNot connectedClicks, impressions, CTR, average position, queries, pages, countries, and devices
Google AnalyticsNot connectedOrganic sessions, engagement, landing pages, conversions, geography, and devices

No first-party Search Console or Analytics numbers are shown until the site owner authorizes the corresponding Google account. Scout traffic model values above are modeled estimates, not private analytics totals.

Limits and method

23

Limitations and open questions

Known constraints and missing evidence from the collected pages.

The collected pages do not mention specific competitors by name. Evidence gaps include lack of detailed security certifications, uptime statistics, and customer case studies. Open questions remain about the full pricing structure for Premium plans and the exact limits of free tiers beyond cluster count.

24

Sources, method, and limitations

Evidence inventory, collection method, provider use, and constraints.

This report is based on 15 collected pages from weaviate.io, including product pages, platform overview, and educational content. The collection used static and browser rendering rendering, with an external proof search for additional context. Limitations include that external review profiles were not scraped, and some claims are based on marketing language rather than independent verification.

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