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Home›AI Companies›Weaviate

Weaviate

Data & Infrastructure

by Weaviate🇳🇱

Open-source vector database with built-in ML models

Weaviate is an open-source vector database with built-in ML models. Store objects and their vector representations for semantic search, Q&A, and generative search.

Top 1%·17K GitHub stars·138K visits/mo
weaviate.ioGitHubPricingXLinkedInYouTube
Weaviate preview

Overall Score

39

Top 1%

of AI companies

Overall Score

39

Top 1%

GitHub Stars

17K

Go · updated 4d ago

Monthly Visits

138K

0m 33s avg visit

Community Rating

1.0

1 reviews

Executive summary

Weaviate is an open-source vector database with built-in ML models. Store objects and their vector representations for semantic search, Q&A, and generative search.

Data & InfrastructureOpen Source
  • Operates in data & infrastructure.
  • Roughly 138K monthly visits — meaningful audience reach.
  • Receives notable referral traffic from AI assistants.
  • Active open-source repo with 17K GitHub stars.

Recent signals

Latest detected signals across traffic, developer activity and community mentions.

  1. Last GitHub push

    5 days ago
  2. HN: "BM25 vs. Vector vs. Hybrid Search"

    26 days ago·2 points · 0 comments

Traffic & Engagement

May 2026
Monthly Visits
138K
Visit Duration
0m 33s
Pages / Visit
1.74
Bounce Rate
43.2%

AI Referrals

848 / mo

Referral growth vs previous period

  • chatgpt.com+6781%

Top Keywords

May 2026
KeywordVolume / MoCPC
weaviate12,710$3.33
context engineering23,110$1.88
agentic workflows12,160$13.10
weaviate import data110—
weaviate academy——

Top Countries

  • 🇮🇳IN15.0%
  • 🇺🇸US11.0%
  • 🌐VN4.5%
  • 🇬🇧GB3.6%
  • 🇨🇳CN3.2%

Pricing

from weaviate.io

Flex

$45

/ monthly

Premium

$400

/ monthly

Compare Plans

Free

/ monthly

Free trial available

About Weaviate

Weaviate is an open-source vector database that allows users to store data objects and vector embeddings from ML-models and scale to billions of data objects seamlessly. The tool provides lightning-fast pure vector similarity search over data objects or raw vectors and supports a combination of keyw...

GitHub16,522 stars
LanguageGo
License

Track Weaviate

Get notified when score, traffic, GitHub or community signals change.

Recent signals

Latest detected signals across traffic, developer activity and community mentions.

  1. Last GitHub push

    5 days ago
  2. HN: "BM25 vs. Vector vs. Hybrid Search"

    26 days ago·2 points · 0 comments

Score

Score breakdown

Overall 39/100

Six signals, each 0–100, blended into the overall by their listed weight.

28·20%
60·10%
34·25%

Pricingfrom weaviate.io ↗
Free trialUSD

Community snapshot
Featuredv1.0by Weaviate

YHacker News

Mentions

3

Show HN

0

Total points

7

Comments

0

1 mention in the last 30 days · 3 in 90 days

Context Engineering – LLM Memory and Retrieval for AI Agents

Why it ranks

Overall 39/100
  • Traffic is light
    28/100
  • GitHub is strong
    60/100
  • Community is moderate
    34/100
  • Momentum is moderate
    53/100

Each dimension is weighted (traffic 20% · community 25% · growth 15% · momentum 15% · innovation 10%) and combined into the overall.

View full analytics →

Indexed by indexator.ai

Mar 28, 2026
  • Launched on Product Hunt

    Jun 2021·11 upvotes · 4 comments
  • View all 5 signals →

    Traffic Sources

    May 2026
    • searchorganic50.4%
    • direct26.9%
    • referrals12.7%
    • genai3.3%
    • socialorganic3.0%
    • mail2.0%
    • socialpaid1.5%
    • displayads0.2%
    BSD-3-Clause
    Founded2022
    HeadquartersNL
    Websiteweaviate.io

    Indexed by indexator.ai

    Mar 28, 2026
  • Launched on Product Hunt

    Jun 2021·11 upvotes · 4 comments
  • GitHub repo created

    Mar 2016·16,522 stars today
  • 53·15%

    Score trend

    last 90 days

    Traffic

    Traffic & Engagement

    May 2026
    Monthly Visits
    138K
    Visit Duration
    0m 33s
    Pages / Visit
    1.74
    Bounce Rate
    43.2%

    Traffic Sources

    May 2026
    • searchorganic50.4%
    • direct26.9%
    • referrals12.7%
    • genai3.3%
    • socialorganic3.0%
    • mail2.0%
    • socialpaid1.5%
    • displayads0.2%

    Top Countries

    • 🇮🇳IN15.0%
    • 🇺🇸US11.0%
    • 🌐VN4.5%
    • 🇬🇧GB3.6%
    • 🇨🇳CN3.2%

    Discovery

    AI Referrals

    848 / mo

    Referral growth vs previous period

    • chatgpt.com+6781%

    Top Keywords

    May 2026
    KeywordVolume / MoCPC
    weaviate12,710$3.33
    context engineering23,110$1.88
    agentic workflows12,160$13.10
    weaviate import data110—
    weaviate academy——

    Flex

    $45/ mo

    Premium

    $400/ mo

    Compare Plans

    Free

    Saves

    50

    Rating

    1.0

    1 review

    Views

    2.1K

    Category

    Vector databases

    Vector databases

    Pros · 26

    • Stores vector embeddings
    • Scales to billions objects
    • Lightning-fast vector similarity search
    • Supports keyword-based search
    • Supports vector search
    • Allows any generative model
    • Wide neural search integrations
    • Supports vectorization
    • Zero to production design
    • Community and open-source focus
    • Backup and restore capabilities
    • Variety of learning resources

    Cons · 8

    • Limited integrations
    • No commercial support
    • Open-source drawbacks
    • Requires ML model building
    • Learning curve
    • Limited search options
    • Inadequate community support
    • Insufficient documentation

    Rating distribution

    5-star
    0
    4-star
    0
    3-star
    0
    2-star
    0
    1-star
    1

    Release history · 1+

    Initial releaseFebruary 15, 2022

    Initial release of Weaviate.

    Alternatives — peer set

    Supabase Vector

    The Postgres Vector database and AI Toolkit

    Community vote

    How do you feel about this company?

    Your vote helps improve ranking signals.

    3 points · 0 comments · by

    GitHub

    Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

    16.5k1.3k577 issues· Go· BSD-3-Clause· updated 4d ago
    approximate-nearest-neighbor-searchgenerative-searchgrpchnswhybrid-search
    image-search
    46