Vespa

Vespa.ai AS·Vespa.ai
Product Capabilities

Hybrid search platform

As of August 27, 2026, Vespa's features: Nine stated capabilities span hybrid search and RAG, with one listed integration; the breadth covers a full search-to-inference pipeline on paper, but buyers should test the integration surface against their own stack before committing.

Backed by 10 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.
Capabilities
Ad TargetingAuto ScalingHybrid SearchModel InferenceOpen SourceRAGRecommendationTensor SupportVector Search
Integrations
Docker
Features Change Historydated events · values unlock with a key
Feature removed: Ml Inference · high significance
Feature removed: Real Time Updates · high significance
Feature removed: RAG · high significance
Feature removed: Structured Search · high significance
Feature added: Real Time Updates
Feature removed: Real Time Inference · high significance
Feature removed: Visual RAG · high significance
Feature removed: Recommendation · high significance
Every features fact on this pagekey · value · provenance · dated · sourced
FactValueProvenanceAs ofSource
features.ad-targetingAd Targetingcompany stated2026-08-27vespa.ai/2023-11-01-blossom-funding/
features.auto-scalingAuto Scalingcompany stated2026-08-27vespa.ai/2023-11-01-blossom-funding/
features.hybrid-searchHybrid Searchcompany stated2026-08-27vespa.ai/2023-11-01-blossom-funding/
features.integration.dockerDockercompany stated2026-08-27vespa.ai/2023-11-01-blossom-funding/
features.model-inferenceModel Inferencecompany stated2026-08-27vespa.ai/2023-11-01-blossom-funding/
features.open-sourceOpen Sourcecompany stated2026-08-27vespa.ai/2023-11-01-blossom-funding/
features.ragRAGcompany stated2026-08-27vespa.ai/2023-11-01-blossom-funding/
features.recommendationRecommendationcompany stated2026-08-27vespa.ai/2023-11-01-blossom-funding/
features.tensor-supportTensor Supportcompany stated2026-08-27vespa.ai/2023-11-01-blossom-funding/
features.vector-searchVector Searchcompany stated2026-08-27vespa.ai/2023-11-01-blossom-funding/
Features across Vector DatabasesVespa ranked in place · tap through for each read

No observed features facts yet for Marqo, Milvus and MyScale.

Get features for vespa.ai via API / MCPevery field dated and sourced
RESTopen tier
GET https://api.bixel.com/v1/companies/vespa.ai/facts?dimension=features

{
  "data": {
    "facts": [
      {
        "key": "features.ad-targeting",
        "value": true,
        "provenance": "company_stated",
        "as_of": "2026-08-27",
        "source_url": "vespa.ai/2023-11-01-blossom-funding/"
      },
      {
        "key": "features.auto-scaling",
        "value": true,
        "provenance": "company_stated",
        "as_of": "2026-08-27",
        "source_url": "vespa.ai/2023-11-01-blossom-funding/"
      },
      {
        "key": "features.hybrid-search",
        "value": true,
        "provenance": "company_stated",
        "as_of": "2026-08-27",
        "source_url": "vespa.ai/2023-11-01-blossom-funding/"
      },
      {
        "key": "features.integration.docker",
        "value": true,
        "provenance": "company_stated",
        "as_of": "2026-08-27",
        "source_url": "vespa.ai/2023-11-01-blossom-funding/"
      },
      "…"
    ]
  }
}
MCPfor agents
# any MCP client (Claude, agents)
const record = await bixel.get_company_facts({ domain: "vespa.ai", dimension: "features" })

# returns the features record above,
# each value with its source_url + as_of,
# ready to reason over
Build on the company record. One key, REST + MCP, every signal dated and sourced back to the page it came from.

Public record, read from companies' own pages and boards. Every fact dated and sourced; provenance (observed vs company stated) shown inline.