Complete Database Data for Tool ID: 019734

tool

  • id: 19734
    tools_id: AOAT-019734
    tools_url: https://vespa.ai
    tools_name: Vespa
    publish_date:
    is_active: 1
    created_at: 2025-07-23T05:58:33.471061
    updated_at: 2025-07-27T08:15:21.895024

badges

  • tool_id: 19734
    badge_id: 17
    is_active: 1
    created_at: 2025-07-21T12:34:56.046028
    value: 1
    id: 21896
    updated_at: 2025-07-27T08:11:45.309133
    value_text:

  • tool_id: 19734
    badge_id: 25
    is_active: 1
    created_at: 2025-08-18T20:13:14.313606
    value: 403506
    id: 38874
    updated_at: 2025-08-18T20:13:14.313606
    value_text:

  • tool_id: 19734
    badge_id: 26
    is_active: 1
    created_at: 2025-08-30T13:49:57.789696
    value: 1
    id: 50442
    updated_at: 2025-08-30T13:49:57.789696
    value_text:

images

  • image_id: 46526
    tool_id: 19734
    image_url: https://ageofai.tools/wp-content/uploads/logo/AOAT-019734-logo.png
    image_type: logo
    alt_text:
    order:
    is_active: 1
    created_at: 2025-07-23T06:21:01.537453
    updated_at: 2025-07-27T08:07:15.656641

  • image_id: 46527
    tool_id: 19734
    image_url: https://ageofai.tools/wp-content/uploads/sc/AOAT-019734-sc02.png
    image_type: screenshot
    alt_text:
    order:
    is_active: 1
    created_at: 2025-07-23T06:21:01.537453
    updated_at: 2025-07-27T08:07:15.656641

pricing

  • pricing_id: 4739
    tool_id: 19734
    price: 0
    currency_symbol: $
    billing_period:
    pricing_explanation: Vespa's pricing is based on a pay-as-you-go model, charging you hourly for the machine resources (vCPU, memory, disk, GPU) allocated to your application. The cost per unit decreases as you allocate more resources across all applications. They offer three tiers: Basic, Commercial, and Enterprise, each with different support levels, response times, and additional services like named support representatives and tune-up programs. Enterprise tier requires a minimum monthly spend of $20,000. All plans include proactive issue remediation, unlimited support cases, automated operations, deployments, and upgrades. You can start with a 14-day free trial with no credit card required.Key Points:Pay-as-you-go: Hourly pricing for allocated machine resources (vCPU, memory, disk, GPU). Tiered Pricing: Basic, Commercial, and Enterprise tiers with varying support levels and features. Resource Discounts: Unit prices decrease linearly with increased resource allocation. Enclave Pricing: Lower prices for using enclaves, but a minimum monthly spend of $10,000 is required. Minimum Spend: Enterprise tier requires a minimum monthly spend of $20,000. Free Trial: 14-day free trial with no credit card required.
    currency:
    pricing_name:
    is_active: 1
    updated_at: 2025-07-27T08:08:19.419945
    created_at: 2025-07-27T08:10:10.881958

pricing_models

  • tool_id: 19734
    pricing_model_id: 4
    is_active: 1
    created_at: 2025-07-23T06:17:37.581901
    id: 6175
    updated_at: 2025-07-27T08:16:13.168523

all_pricing_models

  • pricing_model_id: 9
    pricing_model_name: Hybrid Models
    is_active:
    sort: 0

  • pricing_model_id: 10
    pricing_model_name: Deprecated/Legacy
    is_active:
    sort: 0

  • pricing_model_id: 1
    pricing_model_name: Free
    is_active: 1
    sort: 1

  • pricing_model_id: 2
    pricing_model_name: Freemium
    is_active: 1
    sort: 2

  • pricing_model_id: 12
    pricing_model_name: Free Trial
    is_active: 1
    sort: 3

  • pricing_model_id: 3
    pricing_model_name: Subscription
    is_active: 1
    sort: 6

  • pricing_model_id: 4
    pricing_model_name: Pay-As-You-Go (PAYG)
    is_active: 1
    sort: 4

  • pricing_model_id: 5
    pricing_model_name: One-Time Purchase
    is_active: 1
    sort: 7

  • pricing_model_id: 6
    pricing_model_name: Credit or Token-Based
    is_active: 1
    sort: 5

  • pricing_model_id: 7
    pricing_model_name: Custom Pricing
    is_active: 1
    sort: 8

  • pricing_model_id: 8
    pricing_model_name: Performance-Based
    is_active: 1
    sort: 9

  • pricing_model_id: 11
    pricing_model_name: Miscellaneous
    is_active: 1
    sort: 10

active_pricing_model_names











ratings

  • rating_id: 97520
    tool_id: 19734
    source_id: 3
    score: 4.926493164
    weight:
    comment:
    created_at: 2025-09-19T02:50:57.661558
    is_active: 1
    updated_at: 2025-09-19T02:50:57.661558

  • rating_id: 68683
    tool_id: 19734
    source_id: 3
    score: 4.932749164
    weight:
    comment:
    created_at: 2025-08-14T21:14:34.53109
    is_active: 1
    updated_at: 2025-08-14T21:14:34.53109

  • rating_id: 19734
    tool_id: 19734
    source_id: 3
    score: 4.894876
    weight:
    comment:
    created_at: 2025-06-28T07:52:53.270177
    is_active: 1
    updated_at: 2025-07-27T08:17:24.286376

seo

  • seo_id: 19734
    tool_id: 19734
    title: Vespa: Unmatched Scalability for Search, Recommendations & AI
    tldr:
    short_description: Explore the power of AI with our advanced search engine. Discover insights from vast datasets and revolutionize your data analysis with AI-driven solutions.
    introduction_title: AI Search Engine Revolution: Vespa Powers Scalable Data Analysis
    introduction_body: AI search engines, AI data platforms, and tools utilizing AI and big data are transforming how businesses operate. Leading this charge is Vespa, an open-source AI-powered search engine and vector database designed to revolutionize how organizations analyze and apply AI to their vast online data. Vespa's architecture allows for unmatched performance, scalability, and high availability for search applications of all sizes. Developers can seamlessly co-locate vectors, metadata, and content within the same node, execute inference tasks, and scale effortlessly across nodes to handle any volume of data and traffic. This empowers organizations to build powerful applications like search, recommendations, personalization, conversational AI, and semi-structured navigation, all while benefiting from Vespa's real-time machine-learned model inference capabilities for in-depth data understanding.
    is_active: 1
    created_at: 2025-07-23T06:17:37.581901
    updated_at: 2025-07-27T08:11:20.221553

social_media

  • tool_id: 19734
    network_id: 9
    social_media_url: https://github.com/vespa-engine/vespa
    is_active: 1
    created_at: 2025-07-01T18:37:28.032381
    id: 31007
    updated_at: 2025-07-27T08:14:10.033253

  • tool_id: 19734
    network_id: 12
    social_media_url: https://linkedin.com/company/vespa-ai
    is_active: 1
    created_at: 2025-07-01T18:37:28.032381
    id: 31008
    updated_at: 2025-07-27T08:14:10.033253

  • tool_id: 19734
    network_id: 14
    social_media_url: https://twitter.com/vespaengine
    is_active: 1
    created_at: 2025-07-01T18:37:28.032381
    id: 31009
    updated_at: 2025-07-27T08:14:10.033253

  • tool_id: 19734
    network_id: 16
    social_media_url: info@vespa.ai
    is_active: 1
    created_at: 2025-07-01T18:37:28.032381
    id: 31010
    updated_at: 2025-07-27T08:14:10.033253

tags

  • tool_id: 19734
    tag_id: 50
    weight: 1
    is_active: 1
    created_at: 2025-07-23T06:17:37.581901
    id: 67853
    updated_at: 2025-07-27T08:14:35.369098

  • tool_id: 19734
    tag_id: 113
    weight: 2
    is_active: 1
    created_at: 2025-07-23T06:17:37.581901
    id: 67854
    updated_at: 2025-07-27T08:14:35.369098

  • tool_id: 19734
    tag_id: 164
    weight: 3
    is_active: 1
    created_at: 2025-07-23T06:17:37.581901
    id: 67855
    updated_at: 2025-07-27T08:14:35.369098

  • tool_id: 19734
    tag_id: 81
    weight: 4
    is_active: 1
    created_at: 2025-07-23T06:17:37.581901
    id: 67856
    updated_at: 2025-07-27T08:14:35.369098

toolsets

  • tool_id: 19734
    toolset_id: 28
    weight: 1
    is_active: 1
    created_at: 2025-07-23T06:17:37.581901
    id: 107720
    updated_at: 2025-07-27T08:15:00.645841

  • tool_id: 19734
    toolset_id: 13
    weight: 2
    is_active: 1
    created_at: 2025-07-23T06:17:37.581901
    id: 107721
    updated_at: 2025-07-27T08:15:00.645841

  • tool_id: 19734
    toolset_id: 11
    weight: 3
    is_active: 1
    created_at: 2025-07-23T06:17:37.581901
    id: 107722
    updated_at: 2025-07-27T08:15:00.645841

  • tool_id: 19734
    toolset_id: 43
    weight: 4
    is_active: 1
    created_at: 2025-07-23T06:17:37.581901
    id: 107723
    updated_at: 2025-07-27T08:15:00.645841

platforms

  • tool_id: 19734
    platform_id: 1
    priority: 1
    platform_url: https://vespa.ai
    is_active:
    created_at: 2025-07-23T06:17:37.581901
    id: 19732
    updated_at: 2025-08-20T07:13:25.989

  • tool_id: 19734
    platform_id: 1
    priority: 1
    platform_url: https://vespa.ai
    is_active: 1
    created_at: 2025-08-20T03:43:27.705075
    id: 48608
    updated_at: 2025-08-20T03:43:27.705075

  • tool_id: 19734
    platform_id: 16
    priority:
    platform_url: https://github.com/vespa-engine/sample-apps
    is_active: 1
    created_at: 2025-09-17T16:31:31.199353
    id: 66035
    updated_at: 2025-09-17T16:31:31.199353

videos

  • video_id: 2938
    tool_id: 19734
    platform_id: 1
    type: Channel
    title:
    url: https://youtube.com/@vespaai
    duration:
    sort_order:
    is_active:
    created_at: 2025-06-18T12:00:32.70256
    viewCount:
    likes:
    language:
    id: 2936
    thumbnail_url:
    video_info:
    updated_at: 2025-08-05T18:28:08.413048

score_log

  • log_id: 208305
    tool_id: 19734
    final_score: 4.42
    logged_at: 2025-09-19T02:50:57.661558
    change_reason: New rating added | Coverage: 8.6% | Penalty: 0.8982
    triggered_by: System
    source_summary: Similar web Raiting: 4.926493164 (w=58.000) | Base Score: 4.926 | Final: 4.425
    final_score_2: 4.4249909394

  • log_id: 188986
    tool_id: 19734
    final_score: 4.43
    logged_at: 2025-08-19T16:20:53.067949
    change_reason: rating_sources changed | Coverage: 8.6% | Penalty: 0.8982
    triggered_by: System
    source_summary: Similar web Raiting: 4.932749164 (w=58.000) | Base Score: 4.933 | Final: 4.431
    final_score_2: 4.4306100974

  • log_id: 173441
    tool_id: 19734
    final_score: 4.44
    logged_at: 2025-08-19T16:20:25.813463
    change_reason: rating_sources changed | Coverage: 10.2% | Penalty: 0.8999
    triggered_by: System
    source_summary: Similar web Raiting: 4.932749164 (w=59.000) | Base Score: 4.933 | Final: 4.439
    final_score_2: 4.4391240224

  • log_id: 150994
    tool_id: 19734
    final_score: 4.43
    logged_at: 2025-08-14T21:14:34.53109
    change_reason: New rating added | Coverage: 8.6% | Penalty: 0.8982
    triggered_by: System
    source_summary: Similar web Raiting: 4.932749164 (w=58.000) | Base Score: 4.933 | Final: 4.431
    final_score_2: 4.4306100974

  • log_id: 141816
    tool_id: 19734
    final_score: 4.4
    logged_at: 2025-08-12T06:15:25.263278
    change_reason: Rating source weights updated | Coverage: 8.6% | Penalty: 0.8982
    triggered_by: System
    source_summary: Similar web Raiting: 4.894876000 (w=58.000) | Base Score: 4.895 | Final: 4.397
    final_score_2: 4.3965923078

  • log_id: 135395
    tool_id: 19734
    final_score: 4.41
    logged_at: 2025-08-11T16:36:22.187859
    change_reason: Applied precise penalty formula - Similar Web = 4.5 | Coverage: 10.2% | Penalty: 0.9000
    triggered_by: Manual Refresh
    source_summary: Similar web Raiting: 4.894876000 (w=49.000) | Base Score: 4.895 | Final: 4.405
    final_score_2: 4.4052268691

  • log_id: 124262
    tool_id: 19734
    final_score: 3.8
    logged_at: 2025-08-11T16:32:06.680827
    change_reason: Applied milder penalty formula - v2 | Coverage: 10.2% | Penalty: 0.776
    triggered_by: Manual Refresh
    source_summary: Similar web Raiting: 4.894876000 (w=49.000) | Base Score: 4.895 | Final: 3.796
    final_score_2: 3.7960252868

  • log_id: 113129
    tool_id: 19734
    final_score: 2.7
    logged_at: 2025-08-11T16:28:07.06408
    change_reason: Applied new fair penalty system | Coverage: 10.2% | Penalty: 0.551
    triggered_by: Manual Refresh
    source_summary: Similar web Raiting: 4.894876000 (w=49.000) | Base Score: 4.895 | Final: 2.697
    final_score_2: 2.6971794684

  • log_id: 101996
    tool_id: 19734
    final_score: 4.89
    logged_at: 2025-08-11T16:16:08.254948
    change_reason: weights updated to defaults
    triggered_by: Manual
    source_summary: Similar web Raiting: 4.894876000 (w=49.000)
    final_score_2: 4.894876

  • log_id: 84363
    tool_id: 19734
    final_score: 0.5
    logged_at: 2025-08-11T16:10:08.878468
    change_reason: weights updated to defaults
    triggered_by: Manual
    source_summary: Similar web Raiting: 4.894876000 (w=5.00)
    final_score_2: 0.4994771429

  • log_id: 49257
    tool_id: 19734
    final_score: 4.89
    logged_at: 2025-06-28T07:39:14.274193
    change_reason: New rating added
    triggered_by: System
    source_summary: Similar web Raiting: 4.894876000 (weight: 1.0000)
    final_score_2: 4.894876

last_update

  • tool_id: 19734
    last_update: 2025-08-30T13:49:57.789696

Tools Logo

Vespa: Unmatched Scalability for Search, Recommendations & AI

Explore the power of AI with our advanced search engine. Discover insights from vast datasets and revolutionize your data analysis with AI-driven solutions.

4.4 out of 5

Explore the power of AI with our advanced search engine. Discover insights from vast datasets and revolutionize your data analysis with AI-driven solutions.

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4.4 out of 5
403,506

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Updated on August 30, 2025 (1 month ago)

AI Search Engine Revolution: Vespa Powers Scalable Data Analysis

AI search engines, AI data platforms, and tools utilizing AI and big data are transforming how businesses operate. Leading this charge is Vespa, an open-source AI-powered search engine and vector database designed to revolutionize how organizations analyze and apply AI to their vast online data. Vespa's architecture allows for unmatched performance, scalability, and high availability for search applications of all sizes. Developers can seamlessly co-locate vectors, metadata, and content within the same node, execute inference tasks, and scale effortlessly across nodes to handle any volume of data and traffic. This empowers organizations to build powerful applications like search, recommendations, personalization, conversational AI, and semi-structured navigation, all while benefiting from Vespa's real-time machine-learned model inference capabilities for in-depth data understanding.

Pricing

Pricing:

Free
Freemium
Free Trial
Subscription
Pay-As-You-Go (PAYG)
One-Time Purchase
Credit or Token-Based
Custom Pricing
Performance-Based
Miscellaneous

Pricing Plans:

Vespa's pricing is based on a pay-as-you-go model, charging you hourly for the machine resources (vCPU, memory, disk, GPU) allocated to your application. The cost per unit decreases as you allocate more resources across all applications. They offer three tiers: Basic, Commercial, and Enterprise, each with different support levels, response times, and additional services like named support representatives and tune-up programs. Enterprise tier requires a minimum monthly spend of $20,000. All plans include proactive issue remediation, unlimited support cases, automated operations, deployments, and upgrades. You can start with a 14-day free trial with no credit card required.Key Points:Pay-as-you-go: Hourly pricing for allocated machine resources (vCPU, memory, disk, GPU). Tiered Pricing: Basic, Commercial, and Enterprise tiers with varying support levels and features. Resource Discounts: Unit prices decrease linearly with increased resource allocation. Enclave Pricing: Lower prices for using enclaves, but a minimum monthly spend of $10,000 is required. Minimum Spend: Enterprise tier requires a minimum monthly spend of $20,000. Free Trial: 14-day free trial with no credit card required.

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