Bixel

Vespa

Vespa.ai AS·Vespa.ai
Product Capabilities

Hybrid search platform

As of July 18, 2026, Vespa's features: 12 stated capabilities cover the core AI search stack, hybrid search, RAG, vector search, and AI agents among them, but only 2 integrations are listed, so teams relying on third-party tooling will need to assess connector gaps before committing.

High confidence · 14 dated facts
Corroborated across multiple dated, sourced facts.
Capabilities
Hybrid SearchVector DatabaseRAGVisual RetrievalTensor ComputationAI AgentsVector SearchModel InferenceReal Time ServingOpen SourceSelf HostedAuto Scaling
Integrations
AWSDocker
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.ai-agentsAI Agentscompany stated2026-07-17vespa.ai/contact
features.auto-scalingAuto Scalingcompany stated2026-07-18vespa.ai/2023-11-01-blossom-funding/
features.hybrid-searchHybrid Searchcompany stated2026-07-17vespa.ai/contact
features.integration.awsAWScompany stated2026-07-17vespa.ai/contact
features.integration.dockerDockercompany stated2026-07-18vespa.ai/2023-11-01-blossom-funding/
features.model-inferenceModel Inferencecompany stated2026-07-18vespa.ai/2023-11-01-blossom-funding/
features.open-sourceOpen Sourcecompany stated2026-07-18vespa.ai/2023-11-01-blossom-funding/
features.ragRAGcompany stated2026-07-17vespa.ai/contact
features.real-time-servingReal Time Servingcompany stated2026-07-18vespa.ai/2023-11-01-blossom-funding/
features.self-hostedSelf Hostedcompany stated2026-07-18vespa.ai/2023-11-01-blossom-funding/
features.tensor-computationTensor Computationcompany stated2026-07-17vespa.ai/contact
features.vector-databaseVector Databasecompany stated2026-07-17vespa.ai/contact
features.vector-searchVector Searchcompany stated2026-07-18vespa.ai/2023-11-01-blossom-funding/
features.visual-retrievalVisual Retrievalcompany stated2026-07-17vespa.ai/contact
Features across Vector DatabasesVespa ranked in place · tap through for each read
CompanyFeatures readFacts
ZillizHybrid search platform79
QdrantHybrid search platform50
VectaraRAG platform48
ChromaHybrid search platform46
LanceDBHybrid search platform38
ActiveloopRAG platform37
TopKMulti-tenancy platform33
PineconeReranking platform31
TurbopufferMulti-tenancy platform31
KDB.AIFocused feature set18
EpsillaRAG platform16
Vespa this recordHybrid search platform14
MarqoFocused feature set5

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

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.hybrid-search",
        "value": true,
        "provenance": "company_stated",
        "as_of": "2026-07-17",
        "source_url": "vespa.ai/contact"
      },
      {
        "key": "features.vector-database",
        "value": true,
        "provenance": "company_stated",
        "as_of": "2026-07-17",
        "source_url": "vespa.ai/contact"
      },
      {
        "key": "features.rag",
        "value": true,
        "provenance": "company_stated",
        "as_of": "2026-07-17",
        "source_url": "vespa.ai/contact"
      },
      {
        "key": "features.visual-retrieval",
        "value": true,
        "provenance": "company_stated",
        "as_of": "2026-07-17",
        "source_url": "vespa.ai/contact"
      },
      "…"
    ]
  }
}
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.