Upstash Vector
Upstash Vector is a serverless cloud vector database for search in systems such as NLP, retrieval-augmented generation, recommendations, image recognition, c…
What Upstash Vector is
Upstash Vector is a serverless cloud vector database for search in systems such as NLP, retrieval-augmented generation, recommendations, image recognition, clustering, and classification. It uses DiskANN for approximate nearest-neighbor queries and lists FreshDiskANN as another index type. Developers can use its REST API and SDKs for Python, TypeScript, Go, and PHP, with first-class support for Python and TypeScript. Similarity choices include Euclidean distance, cosine similarity, and dot product. Vectors can carry metadata, and queries can filter by metadata expressions. Hybrid indexes combine dense semantic search with sparse exact-token search. Documentation lists integrations with Vercel AI SDK, Flowise, LangChain, Langflow, LlamaIndex, and LlamaParse. The free plan allows 10,000 daily queries or updates and up to 1 GB of data and metadata. Pay as You Go costs $0.40 per month, billed per 100,000 requests; storage and bandwidth have separate terms. Listed region availability varies by plan. The pricing page also lists a default top-k limit of 1,000 and per-vector metadata and data limits.
Good
- REST API and SDKs for four languages.
- Metadata filters can narrow query results.
- Hybrid indexes combine semantic and exact-token search.
- Free plan includes 10,000 daily queries or updates.
Watch out
- Default top-k limit is 1,000.
- Each vector is limited to 48 KB of metadata and 1 MB of data.
- Region availability varies by plan.
Who it suits
It suits developers building vector-search features or related NLP, RAG, recommendation, and classification systems. The API and SDK options may be useful for teams working in Python, TypeScript, Go, or PHP.
Verdict
Upstash Vector offers API-based vector search with metadata filtering and hybrid indexing. The free plan has stated daily and storage limits; paid request billing and separate storage terms should be reviewed for larger workloads.
Plans and prices
From Upstash Vector's own pricing page, checked 3 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Free | Free | 10K daily queries/updates · 200M vectors × dimensions · 1,536 max dimensions · 100 namespaces · 1 GB max data/metadata |
| Pay as You Go | $0.40 a month | Unlimited daily queries/updates · 2B vectors × dimensions · 3,072 max dimensions · 10K namespaces · 50 GB max data/metadata · per 100K requests; storage $0.25/GB; bandwidth free up to 200 GB/month, then $0.03/GB |
| Fixed | $60 a month | 1M daily queries/updates · 2B vectors × dimensions · 3,072 max dimensions · 10K namespaces · 50 GB max data/metadata · $60/ month; storage $0.25/GB |
| Enterprise | Priced on request | Unlimited daily queries/updates · 100B vectors × dimensions · 5,000 max dimensions · unlimited namespaces · 1 TB max data/metadata · Contact Us; storage $0.25/GB; bandwidth $0.03/GB |
The facts
Each one read from Upstash Vector's own pages, with the date it was checked.
What it does
- API and SDKs
- Upstash Vector provides a REST API and SDKs with first-class Python and TypeScript support.checked 3 Oct 2026
- Enterprise security
- The Enterprise page lists SOC 2 and HIPAA, SAML SSO, access logs, dedicated infrastructure, and encryption and ACLs, and names GDPR and ISO 27001 among its compliance standards.checked 3 Oct 2026
- Hybrid search
- Hybrid indexes combine dense semantic search and sparse exact-token search, then fuse the results.checked 3 Oct 2026
- Integrations
- The documentation provides integrations for Vercel AI SDK, Flowise, LangChain, Langflow, LlamaIndex, and LlamaParse.checked 3 Oct 2026
- Metadata
- Vectors can have metadata attached, and query filters can restrict results to matching metadata expressions.checked 3 Oct 2026
- Notable limits
- The pricing page lists a default topk limit of 1000 and a maximum of 48 KB metadata and 1 MB data per vector.checked 3 Oct 2026
- Purpose
- Upstash Vector is a serverless vector database designed for high-performance vector search at scale, including NLP, RAG, recommendation, image recognition, clustering, and classification systems.checked 3 Oct 2026
- Regions
- The pricing comparison lists regions including N. Virginia, AWS Ireland, AWS Iowa, and GCP, with availability varying by plan.checked 3 Oct 2026
- Search engine
- The database uses DiskANN for approximate nearest-neighbor queries, which Upstash says provides high recall and low latency.checked 3 Oct 2026
- Similarity functions
- It supports Euclidean distance, cosine similarity, and dot product.checked 3 Oct 2026
- Support
- Enterprise features include professional support with a response-time SLA, a dedicated Slack channel, and a dedicated account manager.checked 3 Oct 2026
The company
- Company
- Upstash describes itself as a data platform for developers and says it is based in California.checked 3 Oct 2026
- Headquarters
- Californiachecked 28 Sep 2026
Money
- Free trial
- Upstash says it can provide free trials for Pro and Enterprise plans for testing and proof-of-concept purposes; the page does not state a trial length.checked 3 Oct 2026
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