Research · Vendor site 2026-10-04
Infinity (InfinityFlow) is an open-source AI-native database from InfiniFlow built for LLM applications needing hybrid vector, sparse, tensor, and full-text search. It emphasizes millisecond-scale queries, rich data types, and a single-binary deployment with a Python API.
Engineers building RAG or search-heavy LLM apps who need high-performance hybrid retrieval in self-hosted infrastructure.
Self-hosted deployment requires operating the Infinity binary and sizing hardware for your dataset and QPS targets.
Infinity packages fast hybrid search primitives for LLM applications in an open-source database designed for simple self-hosted deployment.
What it can do
Unknown is different from unavailable. Each fact carries its own evidence.
| Capability | Value | Evidence | Checked |
|---|---|---|---|
| Hybrid search | Homepage highlights hybrid search across dense embedding, sparse embedding, tensor, and full-text indexes. | Facts sourced | 2026-10-04 |
| Performance | Marketing cites sub-millisecond query latency on million-scale vector datasets and up to 15K QPS. | Facts sourced | 2026-10-04 |
| Deployment | Site describes a single-binary architecture with no dependencies and an intuitive Python API. | Facts sourced | 2026-10-04 |
Understand the total cost
Free
Free
Open-source project with documentation and community channels; no commercial USD plans are listed on the official site.
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Infinity (InfinityFlow) is an open-source AI-native database from InfiniFlow built for LLM applications needing hybrid vector, sparse, tensor, and full-text search. It emphasizes millisecond-scale queries, rich data types, and a single-binary deployment with a Python API.
Open-source project with documentation and community channels; no commercial USD plans are listed on the official site.. This record lists ongoing free access; check the plan limits before starting.
No paid monthly price is listed; this record treats the product as free to start. See the plan cards for entitlements, billing commitments and seat minimums.
Documentation site provides a Python API and developer docs for embedding hybrid search in applications.. API access and subscription access may have different terms; consult the linked sources.
Self-hosted deployment requires operating the Infinity binary and sizing hardware for your dataset and QPS targets.
No retained pricing changes yet. A current price alone does not establish a historical trend.
Reviewed vendor source
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