Vespa
Product Capabilities
Hybrid search platform
As of October 30, 2026, Vespa's features: 25 stated capabilities incl. hybrid search, RAG, and reranking, 7 integrations.
Backed by 32 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.
Every value derives from a dated, sourced capture — open any fact for its source.
Capabilities
Auto ScalingBM25BYOCContinuous DeploymentDistributed SearchDynamic SnippetsFully ManagedFuzzy SearchHorizontal ScalingHybrid SearchMachine Learned RankingMulti Phase RankingMulti RegionMulti VectorMultimodal SearchOnnxRAGReal Time ServingRegex SearchRerankingStructured SearchTensor SearchText SearchVector SearchXgboost
Integrations
AWSColpaliGCPNexlaOnnxVoyage AIXgboost
Features Change Historydated events · values unlock with a key
Feature added: Multi Phase Ranking
Feature added: BYOC
Feature added: Continuous Deployment
Feature added: Distributed Search
Feature added: BM25
Feature added: Dynamic Snippets
Feature added: Fully Managed
Feature added: Fuzzy Search
Every features fact on this pagekey · value · provenance · dated · sourced
| Fact | Value | Provenance | As of | Source |
|---|---|---|---|---|
| features.auto-scaling | Auto Scaling | company stated | 2026-10-30 | vespa.ai/features/ |
| features.bm25 | BM25 | company stated | 2026-10-30 | vespa.ai/features/ |
| features.byoc | BYOC | company stated | 2026-10-30 | vespa.ai/features/ |
| features.continuous-deployment | Continuous Deployment | company stated | 2026-10-30 | vespa.ai/features/ |
| features.distributed-search | Distributed Search | company stated | 2026-10-30 | vespa.ai/features/ |
| features.dynamic-snippets | Dynamic Snippets | company stated | 2026-10-30 | vespa.ai/features/ |
| features.fully-managed | Fully Managed | company stated | 2026-10-30 | vespa.ai/features/ |
| features.fuzzy-search | Fuzzy Search | company stated | 2026-10-30 | vespa.ai/features/ |
| features.horizontal-scaling | Horizontal Scaling | company stated | 2026-10-30 | vespa.ai/features/ |
| features.hybrid-search | Hybrid Search | company stated | 2026-10-30 | vespa.ai/features/ |
| features.integration.aws | AWS | company stated | 2026-10-30 | vespa.ai/features/ |
| features.integration.colpali | Colpali | company stated | 2026-10-22 | vespa.ai/press |
| features.integration.gcp | GCP | company stated | 2026-10-30 | vespa.ai/features/ |
| features.integration.nexla | Nexla | company stated | 2026-10-22 | vespa.ai/press |
| features.integration.onnx | Onnx | company stated | 2026-10-30 | vespa.ai/features/ |
| features.integration.voyage-ai | Voyage AI | company stated | 2026-10-22 | vespa.ai/press |
| features.integration.xgboost | Xgboost | company stated | 2026-10-30 | vespa.ai/features/ |
| features.machine-learned-ranking | Machine Learned Ranking | company stated | 2026-10-30 | vespa.ai/features/ |
| features.multi-phase-ranking | Multi Phase Ranking | company stated | 2026-10-30 | vespa.ai/features/ |
| features.multi-region | Multi Region | company stated | 2026-10-30 | vespa.ai/features/ |
| features.multi-vector | Multi Vector | company stated | 2026-10-30 | vespa.ai/features/ |
| features.multimodal-search | Multimodal Search | company stated | 2026-10-22 | vespa.ai/press |
| features.onnx | Onnx | company stated | 2026-10-30 | vespa.ai/features/ |
| features.rag | RAG | company stated | 2026-10-22 | vespa.ai/press |
| features.real-time-serving | Real Time Serving | company stated | 2026-10-22 | vespa.ai/press |
| features.regex-search | Regex Search | company stated | 2026-10-30 | vespa.ai/features/ |
| features.reranking | Reranking | company stated | 2026-10-22 | vespa.ai/press |
| features.structured-search | Structured Search | company stated | 2026-10-30 | vespa.ai/features/ |
| features.tensor-search | Tensor Search | company stated | 2026-10-30 | vespa.ai/features/ |
| features.text-search | Text Search | company stated | 2026-10-30 | vespa.ai/features/ |
| features.vector-search | Vector Search | company stated | 2026-10-30 | vespa.ai/features/ |
| features.xgboost | Xgboost | company stated | 2026-10-30 | vespa.ai/features/ |
Features across Vector DatabasesVespa ranked in place · tap through for each read
| Company | Features read | Facts |
|---|---|---|
| Zilliz | Hybrid search platform | 74 |
| Vectara | Hybrid search platform | 48 |
| LanceDB | Hybrid search platform | 39 |
| Chroma | Hybrid search platform | 34 |
| Qdrant | Hybrid search platform | 32 |
| Vespa this record | Hybrid search platform | 32 |
| Weaviate | Hybrid search platform | 32 |
| Pinecone | Hybrid search platform | 17 |
| Marqo | Focused feature set | 16 |
| Epsilla | RAG platform | 14 |
| KDB.AI | Multi-tenancy platform | 12 |
| TopK | Hybrid search platform | 10 |
| Turbopuffer | Multi-tenancy platform | 10 |
| Activeloop | Focused feature set | 2 |
No observed features facts yet for Milvus and MyScale.
IdentityBixel ID · free forever
Operated by
No registered company joined yet. Would resolve with: a registry identifier for the entity; a legal page on the site naming the registered company.
Registry identifiers
None on record.
Published identifiers
- GitHub vespa-engine · inferred
- LinkedIn vespa-ai · corroborated
- X vespaengine · corroborated
- YouTube channel/UCVXw_f6UHff8-V9FA1LMIiw · inferred
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.auto-scaling",
"value": true,
"provenance": "company_stated",
"as_of": "2026-10-30",
"source_url": "vespa.ai/features/"
},
{
"key": "features.bm25",
"value": true,
"provenance": "company_stated",
"as_of": "2026-10-30",
"source_url": "vespa.ai/features/"
},
{
"key": "features.byoc",
"value": true,
"provenance": "company_stated",
"as_of": "2026-10-30",
"source_url": "vespa.ai/features/"
},
{
"key": "features.continuous-deployment",
"value": true,
"provenance": "company_stated",
"as_of": "2026-10-30",
"source_url": "vespa.ai/features/"
},
"…"
]
}
}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 overBuild 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.