Vespa
Combines vector ANN, lexical, structured filtering, and ML-learned ranking in one distributed system. Integrated chunking + layered ranking for RAG. No separate embedding infra needed.
Active · Verified 2026-10-26 · fresh as of 2026-10-26 · 47 cited facts, 3 with a third-party source · 2 recorded changes · Suggest a correction
At a glance
- Type
- Unified vector + lexical + structured + ranking vendor fix
- Tier
- T1
- Section
- Vector-database infrastructure
- Latest release
- not applicable — managed service repo fix
- License
- Apache-2.0 repo fix
- Pricing
- Pay-per-use vendor fix
- Funding
- $31M Series A — Blossom Capital · 2023-11 third-party fix
- Freshness
- 2026-10-26 fix
- Layer
- model-infra repo fix
- Licensing
- open-source repo fix
- SDK languages
- java, python, rest vendor fix
- Developer activity
- OpenRank 21.32 (12-mo avg 31.3) · 41 participants — 2026-09 third-party fix
When to use
Optimised for: low-latency similarity search + scale
Anti-fit: not for relational / graph-heavy queries (vector-first by design)
Pros & cons
Pros
Yahoo-origin engine with the strongest combination of structured-search + vector + ML ranking for production retrieval at scale.
Cons
Steep learning curve; small community vs Elastic; managed service is more limited.
Claims & capabilities
Powers Spotify, Yahoo, Perplexity RAG pipelines.
Technical surface
- API surface
- REST, SDK: Java, Python, JS
- Backend storage
- custom (Vespa proton engine)
- Deployment
- Both (self-hosted + managed cloud) — OSS self-hosted; Vespa Cloud (free trial)
- Embedding model
- multiple supported
- Multi-tenancy
- hard-isolation
- MCP
- no first-party MCP adapter published as of 2026-05; community connectors may exist.
- A2A
- no Google A2A (Agent2Agent) integration documented as of 2026-05.
- OpenTelemetry
- first-class — Prometheus + OTel
Alternatives to Vespa → live options ranked by shared design, licence, hosting and MCP support
Similar systems
Other vector-database infrastructure in the catalog, ranked by inbound references.
- Qdrant T1
Distribution-Based Score Fusion + RRF. Sparse vectors native; filtering via ANN graph modification.
- Chroma T1
Limited native hybrid (users build RRF custom). Fast Rust core (v2.5). Acquired by Replit (definitive agreement announced 2026-10-23); Chroma Cloud is winding down (writes disabled 2026-11-22, reads disabled 2026-12-22) while open-source ChromaDB continues under Apache-2.0.
- pgvector T1
Stores embeddings alongside relational + full-text data. HNSW + IVFFlat ANN indexes. Used as agent conversation memory via LangChain + MCP. Foundation of Supabase AI and many self-hosted RAG stacks.
- Weaviate T1
Hybrid Search 2.0 with learned ranking. BM25 + vector in unified index.
- Milvus T1
Multi-vector columns (10 simultaneous). Native hybrid search (v2.5). CAGRA + Vamana GPU/CPU (v2.6).
- Pinecone T1
Managed vector DB. Cascading sparse + dense + rerank pipeline; pinecone-rerank-v0 .
Sources (46 cited facts, 3 third-party)
Each fact links to the page it came from; the badge says who published it (how to read sources).
- What it is Unified vector + lexical + structured + ranking vendor
- What it does & what's distinct Combines vector ANN, lexical, structured filtering, and ML-learned ranking in one distri… vendor
- Claims / benefits Powers Spotify, Yahoo, Perplexity RAG pipelines. vendor
- Modalities text vendor
- Created 2023 vendor
- Latest release not applicable — managed service repo
- License Apache-2.0 repo
- GitHub vespa-engine/vespa — ~7.1k stars, active (releases from master Mon–Thu) repo
- Mindshare 1 press ~60 (Vespa Link jobs third-party
- Funding $31M Series A — Blossom Capital · 2023-11 third-party
- Customers / scale Spotify, Perplexity, Indeed, AlphaSense, Taboola, Vinted, Farfetch; 10M+ Docker Hub down… vendor
- Pricing Pay-per-use vendor
- Compliance SOC 2 Type II (Vespa Cloud); encryption at rest + in transit; RBAC; audit logging vendor
- Deployment Both (self-hosted + managed cloud) — OSS self-hosted; Vespa Cloud (free trial) repo
- HQ NO vendor
- Founders / pedigree Bjørn Christian Sebak and Jon Bratseth led the spinout; CEO is Jon Bratseth vendor
- Memory volume / scale no scale claim (Spotify / Yahoo / Perplexity scale) vendor
- Performance Billion-scale ANN benchmark: Vespa serves 1B vectors at <100ms p95 from disk (HNSW + bin… vendor
- API surface REST, SDK: Java, Python, JS vendor
- Backend storage custom (Vespa proton engine) vendor
- Multi-tenancy hard-isolation vendor
- Encryption at-rest + in-transit vendor
- SSO / RBAC SSO + RBAC vendor
- Embedding model multiple supported vendor
- Versioning immutable append-log vendor
- Schema evolution schema with migration vendor
- Namespace primitives per-tenant vendor
- Contradiction handling always overwrite (last-write-wins) vendor
- Forgetting policy none (permanent) vendor
- OTel first-class — Prometheus + OTel vendor
- Import / export JSON, Vespa feed format vendor
- Runtimes Python (pyvespa), Java (in core repo); HTTP APIs for other languages repo
- Validated verticals RAG developers, agent builders (broad horizontal); financial-services, healthcare, legal… vendor
- Time to running <10min (managed cloud) to <1hr (self-host Docker) vendor
- Anti-fit not for relational / graph-heavy queries (vector-first by design) vendor
- Optimised for low-latency similarity search + scale vendor
- Adjacent infrastructure BYO embedding model + LLM; this IS the vector store vendor
- Pros Yahoo-origin engine with the strongest combination of structured-search + vector + ML ra… vendor
- Cons Steep learning curve; small community vs Elastic; managed service is more limited. vendor
- Project & sources vespa.ai vendor
- architecture-deployment-locus hybrid repo
- licensing-bucket open-source repo
- positioning-platform-vs-product platform repo
- taxonomy-three-layer-rollup model-infra repo
- developer-activity-opendigger {"activity":180.03,"as_of":"2026-09","openrank_12mo":31.3,"openrank_current":21.32,"part… third-party
- sdk-languages java,python,rest vendor
What changed
Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)
Related systems
Referenced by (3)
- Cohere Embed integrates with — Cohere docs "Integrating Embedding Models with Other Tools": Vespa and Cohere guide. (verified 2026-10-29)
- Haystack (framework) integrates with — Haystack integrations directory has a Vespa integration page ("Use the Vespa search engine as a document store with Haystack"). (verified 2026-10-29)
- LlamaIndex (framework) integrates with — LlamaIndex has an official vector store integration package llama-index-vector-stores-vespa in its repo. (verified 2026-10-29)