Vespa
NewThe AI Search Platform for fast, accurate AI search
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
- Vespa ranks #17 of 30 in Vector Databases with an AI visibility score of 3.8 (SlateIndex, Nov 2, 2026).
- Vespa is most visible on ChatGPT (5.9) and least on Google AI Mode (2.2).
- AI engines name Vespa in 5 of the 30 Vector Databases buyer prompts SlateIndex tracks.
- github.com is the source AI engines cite most in answers about Vespa, with 7 citations.
About
Company details for Vespa
Vespa is an AI search platform for vector, text and structured search, with distributed machine-learned ranking and machine-learned model inference in one engine. It handles real-time updates and is offered as the open-source Vespa project and as Vespa Cloud, a fully managed service. It ranks #17 of 30 in Vector Databases on SlateIndex and has a visibility score of 3.8 in the latest weekly run.
Founded in 2023 and headquartered in Trondheim, Norway, the company employs 51–200 people. It has raised about $31M. Its differentiator: one engine combines vector, text and structured search with distributed machine-learned ranking and model inference.
- Website
- vespa.ai
- Categories
- Vector Databases
- Company size
- 51–200 employees
- Headquarters
- Trondheim, Norway
- Founded
- 2023
- Company type
- Private, venture-backed
- Funding
- Series A, led by Blossom Capital · $31M raised
- Deployment
- Open source for self-hosting, Vespa Cloud fully managed on AWS and Google Cloud marketplaces, and Enclave, which runs hosts in the customer's own cloud account.
- Platforms
- AWS, Google Cloud
- Support
- Developer center and documentation, Vespa Slack community
Read from vespa.ai, linkedin.com, gartner.com, blog.vespa.ai, startupfundraising.com · refreshed Nov 2, 2026.
AI visibility
Latest weekly run · Nov 2 · next run Nov 9
Visibility score trend
Weekly runs over the last 60 days, with up to 7 competitors. Click a name to hide or show its line.
Changes appear after the second weekly run in Vector Databases. Pinecone leads the category at 71.8%.
Media
Website and product screenshots for Vespa
AI mentions & citations
Recent answers that name Vespa
Which Vector Databases vendors do analysts recommend?
As of November 2026, the strongest analyst-recognized vector database vendors include Pinecone, Qdrant, Zilliz (Milvus), Weaviate, Vespa.ai, Elastic, MongoDB, and Microsoft Azure AI Search.
Official website of the top vector database vendors
Alternatives to the most popular vector database
Vespa : A heavy-duty big data serving engine designed for billion-scale hybrid search with native tensor calculations and complex learned ranking models.[](https://www.zenml.io/blog/vector-databases-for-…
Official website of the top vector database vendors
What are the best Vector Databases tools in 2026?
Alternatives to the most popular vector database
Official website of the top vector database vendors
Vespa : A massive-scale big data serving engine and AI search platform built for heavy-duty vector, text, and tensor ranking at internet scale.[](https://www.trychroma.com/)[](https://resources.rework.com/tools/ai-data-…
What are the best Vector Databases tools in 2026?
Products & features
What Vespa sells
Vespa
Open-source AI search platform for retrieval, ranking, machine learning inference and real-time updates in one engine.
Vespa Cloud
Fully managed hosting of Vespa, billed on usage, with dev, production and enterprise support tiers.
Strengths engines cite
- Massive-scale big data serving engine and AI search platform
- Billion-scale hybrid search with native tensor calculations
- Suited to sophisticated recommendation, ranking, and personalization with custom ranking logic
- High-throughput serving
- Recognised by analysts among strongest vector database vendors
Target market & buyers
Companies building data-driven search, AI and recommendation applications.
Notable customers include Perplexity, RavenPack, Vinted, Spotify, Yahoo, Elicit, DeviantArt, Qwant.
| Industry | Primary use case |
|---|---|
| Digital commerce | Combining structured navigation, text and image search with recommendation |
| Media & advertising | Recommendation, personalization and ad targeting |
| Financial intelligence | Billion-scale vector search over financial documents for research |
| Scientific publishing | Search over the scientific body of knowledge |
Funding & recent developments
Funding
| Round | Year | Amount |
|---|---|---|
| Series A, led by Blossom Capital | 2023 | $31M |
| Latest known round | Total raised |
|---|---|
| Series A, led by Blossom Capital | $31M |
Recent developments
- Sep 2026ProductTime-bounded ANN vector search
A release added time-bounded approximate nearest neighbor vector search via a query-level latency budget.
- Aug 2026PartnershipPartnership with Voyage AI (MongoDB)
Announced a partnership with Voyage AI to lower AI search costs.
- Jul 2026ProductThird-party .NET support for open-source Vespa
A third party announced .NET support for the open-source Vespa.
- May 2026ProductVespa Cloud adds Voyage AI, OpenAI and Mistral AI embedding integrations
Vespa Cloud added embedding integrations with Voyage AI, OpenAI and Mistral AI.
- Feb 2026PartnershipPartnership with Nexla
Vespa and Nexla announced a partnership.
Competitive landscape
How Vespa compares with its top three alternatives
Vespa most often appears alongside Pinecone, Qdrant, Weaviate in AI answers.
What AI answers say
Sentiment and themes from the answers that mention this brand
Positive 67% · Neutral 33% · Mixed 0% of 9 engine answers that mention Vespa
Praised for
- Massive-scale big data serving engine and AI search platform
- Billion-scale hybrid search with native tensor calculations
- Suited to sophisticated recommendation, ranking, and personalization with custom ranking logic
- High-throughput serving
- Recognised by analysts among strongest vector database vendors
Criticised for
Cite as: SlateIndex, “Vespa AI visibility profile”, https://slateindex.ai/brand/vespa, data of Nov 2, 2026. Licence: CC BY 4.0.